Evolutionary algorithms for multiobjective optimization methods and applications

a systems approach to evolutionary multiobjective structural optimization and beyond evolutionary algorithms for multi-objective optimization performance assessments and comparisons
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LeonBrown,Hawaii,Researcher
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ListofReferencesonEvolutionaryMultiobjective Optimization Carlos A.Coello Coello ccoellocs.cinvestav.mx CINVESTAV-IPN Departamento deComputacio´n Av. IPN 2508 Col. San Pedro Zacatenco Me´xico,D.F.07300 MEXICO June22,2017 1 Gupta S.K. Aatmeeyata. Simulation and Optimization of an Industrial Ny- lon 6 Reactor: A Review. Polymer-Plastics Technology And Engineering, 37(2):201–239,1998. 2 M. Abachizadeh and M. Tahani. An Ant Colony Optimization Approach to Multi-objective Optimal Design of Symmetric Hybrid Laminates for Maxi- mum Fundamental Frequency and Minimum Cost. Structural and Multidis- ciplinaryOptimization,37(4):367–376,January2009. 3 A. Abakarov, Y. Sushkov, S. Almonacid, and R. Simpson. Multiobjective OptimizationApproach: ThermalFoodProcessing. Journalof FoodScience, 74(9):E471–E487,November-December2009. 4 Babak Abbasi, ShahramShadrokh,and Jamal Arkat. Bi-objectiveResource- constrainedProjectSchedulingwith Robustness and MakespanCriteria. Ap- pliedMathematicsandComputation,180(1):146–152,September1 2006. 5 Fazel Abbasi and Seyed Mehdi Hosseini. Optimal DG Allocation and Siz- ing in Presence of Storage Systems Considering Network Configuration Ef- fects in Distribution Systems. IET Generation Transmission & Distribution, 10(3):617–624,February182016. 6 H.A. Abbass. An economical cognitive approach for bi-objective opti- mization using bliss points, visualization and interaction. Soft Computing, 10(8):687–698,June2006. 17 Hussein Abbass. Pareto-Optimal Approaches to Neuro-Ensemble Learning. In Yaochu Jin, editor, Multi-Objective Machine Learning, pages 407–427. Springer.Studiesin ComputationalIntelligence,Volume16,Berlin,2006. 8 Hussein A. Abbass. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks. In The Australian Joint Conference on Artificial Intelli- gence, pages 1–12, Adelaide, Australia, December 2001. Springer. Lecture NotesinArtificialIntelligenceVol.2256. 9 Hussein A. Abbass. An Evolutionary Artificial Neural Networks Approach for Breast Cancer Diagnosis. Artificial Intelligence in Medicine, 25(3):265– 281,2002. 10 Hussein A. Abbass. The Self-Adaptive Pareto Differential Evolution Algo- rithm. In Congress on Evolutionary Computation (CEC’2002), volume 1, pages831–836,Piscataway,NewJersey,May2002.IEEEServiceCenter. 11 HusseinA.Abbass. ParetoNeuro-Evolution:ConstructingEnsembleofNeu- ralNetworksUsingMulti-objectiveOptimization. InProceedingsofthe2003 CongressonEvolutionaryComputation(CEC’2003),volume3,pages2074– 2080,Canberra,Australia,December2003.IEEEPress. 12 Hussein A. Abbass. Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms. Neural Computation, 15(11):2705–2726,Novem- ber2003. 13 HusseinA.Abbass. AnInexpensiveCognitiveApproachforBiobjectiveOp- timization using Bliss Points and Interaction. In Parallel Problem Solving fromNature-PPSNVIII,pages712–721,Birmingham,UK,September2004. Springer-Verlag.LectureNotesinComputerScienceVol.3242. 14 HusseinA.AbbassandSameerAlamadAxelBender. MEBRA:Multiobjec- tive Evolutionary-BasedRisk Assessment. IEEE ComputationalIntelligence Magazine,4(3):29–36,August2009. 15 HusseinA.AbbassandKalyanmoyDeb. SearchingunderMulti-evolutionary Pressures. InCarlosM.Fonseca,PeterJ.Fleming,EckartZitzler,Kalyanmoy Deb, and Lothar Thiele, editors, Evolutionary Multi-Criterion Optimization. SecondInternationalConference,EMO2003,pages391–404,Faro,Portugal, April2003.Springer.LectureNotesin ComputerScience.Volume2632. 16 Hussein A. Abbass and Ruhul Sarker. Simultaneous Evolution of Architec- tures and Connection Weights in ANNs. In The Artificial Neural Networks and Expert Systems Conference (ANNES’01), pages 16–21, Dunedin, New Zealand,November2001. 17 HusseinA.AbbassandRuhulSarker.TheParetoDifferentialEvolutionAlgo- rithm. International Journal on Artificial Intelligence Tools, 11(4):531–552, 2002. 218 Hussein A. Abbass, Ruhul Sarker, and Charles Newton. PDE: A Pareto- frontier Differential Evolution Approach for Multi-objective Optimization Problems.InProceedingsoftheCongressonEvolutionaryComputation2001 (CEC’2001), volume 2, pages 971–978, Piscataway, New Jersey, May 2001. IEEEServiceCenter. 19 M.F.Abbod,D.A.Linkens,andM.Mahfouf. Multi-ObjectiveGeneticOpti- mizationforSelf-OrganizingFuzzyLogicControl.InProceedingsofUKACC Control’98, pages 1575–1580,Universityof Wales Swansea, UK, september 1998.IEE. 20 N.R. Abburi and U.S. Dixit. Multi-objective optimization of multipass turn- ingprocesses. InternationalJournalofAdvancedManufacturingTechnology, 32(9–10):902–910,April2007. 21 M. Lahanas abd D. Baltas and N. Zamboglou. A hybrid evolutionary algo- rithm for multi-objectiveanatomy-baseddose optimization in high-dose-rate brachytherapy. Physics in Medicineand Biology,48(3):399–415,February7 2003. 22 Mostafa I.H. Abd-El-Barr and Salman A. Khan. Design and analysis of a fault tolerant hybrid mobile scheme. Information Sciences, 177(12):2602– 2620,June152007. 23 Y.L.Abdel-MagidandM.A.Abido.OptimalMultiobjectiveDesignofRobust Power System Stabilizers Using Genetic Algorithms. IEEE Transactions on Power Systems,18(3):1125–1132,August2003. 24 HossamAbdelgawad,BaherAbdulhai,andMohamedWahba. Multiobjective Optimization for Multimodal Evacuation. Transportation Research Record, 2196:21–33,2010. 25 Gh Abdollahi and M. Meratizaman. Multi-objective approach in thermoen- vironomic optimization of a small-scale distributed CCHP system with risk analysis. EnergyandBuildings,43(11):3144–3153,November2011. 26 Wahabou Abdou, Christelle Bloch, Damien Charlet, and Franc¸ois Spies. AdaptiveMulti-ObjectiveGeneticAlgorithmusingMulti-Pareto-Ranking. In 2012 Genetic and Evolutionary Computation Conference (GECCO’2012), pages 449–456, Philadelphia, USA, July 2012. ACM Press. ISBN: 978-1- 4503-1177-9. 27 Wahabou Abdou, Christelle Bloch, Damien Charlet, and Franc¸ois Spies. Multi-Pareto-Ranking Evolutionary Algorithm. In Jin-Kao Hao and Martin Middendorf, editors, Evolutionary Computation in Combinatorial Optimiza- tion, 12th European Conference, EvoCOP 2012, pages 194–205, Ma´laga, Spain, April 11-13 2012. Springer. Lecture Notes in Computer Science Vol. 7245. 328 Wahabou Abdou, Adrien Henriet, Christelle Bloch, Dominique Dhoutaut, Damien Charlet, and Francois Spies. Using an evolutionary algorithm to optimize the broadcasting methods in mobile ad hoc networks. Journal of Network andComputerApplications,36(6):1794–1804,November2011. 29 Salwani Abdullah, Hamza Turabieh, Barry McCollum, and Paul McMul- lan. A Multi-objective Post Enrolment Course Timetabling Problems: A New Case Study. In 2010 IEEE Congress on Evolutionary Computation (CEC’2010),pages435–441,Barcelona,Spain,July18–232010.IEEEPress. 30 Hassan K. Abdulrahimand Fuad N. Alasfour. Multi-ObjectiveOptimisation of hybrid MSF-RO desalination system using Genetic Algorithm. Interna- tionalJournalofExergy,7(3):387–424,2010. 31 E. Abele and M. Fujara. Simulation-Based Twist Drill Design and Geome- try Optimization. CIRP Annals-Manufacturing Technology, 59(1):145–150, 2010. 32 ManuelBlanco Abello, Lam ThuBui, andZbignewMichalewicz. An Adap- tive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks - Part I. In 2011 IEEE Congress on Evolutionary Computation (CEC’2011),pages1703–1710,NewOrleans,Lousiana,USA,5-8June2011. IEEEServiceCenter. 33 ManuelBlanco Abello, Lam ThuBui, andZbignewMichalewicz. An Adap- tive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks - Part II. In 2011 IEEE Congress on Evolutionary Computation (CEC’2011),pages1711–1718,NewOrleans,Lousiana,USA,5-8June2011. IEEEServiceCenter. 34 ManuelBlancoAbello,ZbigniewMichalewicz,andLamThuBui.Areactive- proactiveapproachforsolvingdynamicschedulingwithtime-varyingnumber ofTasks. In2012IEEECongressonEvolutionaryComputation(CEC’2012), pages1132–1141,Brisbane,Australia,June10-152012.IEEEPress. 35 M. A. Abido. A Niched Pareto Genetic Algorithm for multiobjective envi- ronmental/economic dispatch. International Journal of Electrical Power & EnergySystems,25(2):97–105,February2003. 36 M.A.Abido. Multiobjectiveparticleswarmforenvironmental/economicdis- patchproblem. In2007ConferenceProceedingsIPEC,Vols1-3,pages1385– 1390, Singapore, Singapore, December 03-06 2007. IEEE. ISBN 978-981- 05-9423-7. 37 M. A. Abido. Multiobjective Particle Swarm Optimization for enviromen- tal/economicdispatchproblem.ElectricPowerSystemResearch,79(7):1105– 1113,July2009. 438 M. A. Abido and N. A. Al-Ali. Multi-Objective Differential Evolution for Optimal Power Flow. In International Conference on Power Engineering, Energy and Electrical Drives (POWERENG ’09), pages 101–106, Lisbon, Portugal,March18-202009.IEEEComputerSociety. 39 M. A. Abido and N. A. Al-Ali. Multi-Objective Optimal Power Flow Us- ing Differential Evolution. Arabian Journal for Science and Engineering, 37(4):991–1005,June2012. 40 M. A. Abido and J. M. Bakhashwain. Optimal VAR dispatch using a multi- objective evolutionary algorithm. International Journal of Electrical Power &EnergySystems,27(1):13–20,January2005. 41 M. A. Abido and Ashraf M. Elazouni. MultiobjectiveEvolutionaryFinance- Based Scheduling: Entire Projects’ Portfolio. Journal of Computing in Civil Engineering,25(1):85–97,January-February2011. 42 M.A. Abido. A new multiobjective evolutionary algorithm for environmen- tal/economicpowerdispatch.InPowerEngineeringSocietySummerMeeting, volume2,pages1263–1268.IEEE,2001. 43 M.A. Abido. Environmental/economic power dispatch using multiobjec- tive evolutionary algorithms: A comparative study. In 2003 IEEE-Power- Engineering-SocietyGeneralMeeting,pages920–925,Toronto,Canada,July 13-172003.IEEEPress. ISBN0-7803-7989-6. 44 M.A.Abido. MultiobjectiveEvolutionaryAlgorithmsforElectricPowerDis- patchProblem. IEEETransactionsonEvolutionaryComputation,10(3):315– 329,June2006. 45 M.A. Abido. Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm. In 2006 IEEE Congress on Evolutionary Compu- tation (CEC’2006), pages 2745–2751, Vancouver, BC, Canada, July 2006. IEEE. 46 M.A. Abido. Two-Level of Nondominated Solutions Approach to Multiob- jective Particle Swarm Optimization. In Dirk Thierens, editor, 2007 Genetic andEvolutionaryComputationConference(GECCO’2007),volume1,pages 726–733,London,UK,July 2007.ACM Press. 47 M.A. Abido. Multiobjective particle swarm optimization for optimal power flowproblem. In200812thInternationalMiddleEastPower SystemConfer- ence, pages 485–489, Aswan, Egypt, March 12-15 2008. IEEE Press. ISBN 978-1-4244-1933-3. 48 M.A. Abido. Multiobjectiveparticleswarm optimizationwith nondominated localandglobalsets. NaturalComputing,9(3):747–766,September2010. 549 M.A.Abido. MultiobjectiveParticleSwarmOptimizationforOptimalPower Flow Problem. In Bijaya Ketan Panigrahi, Yuhui Shi, and Meng-Hiot Lim, editors, Handbookof Swarm Intelligence.Concepts, Principles and Applica- tions, pages241–268.Springer-Verlag,Berlin,Germany,2011. ISBN 978-3- 642-17389-9. 50 M.A. Abido and J.M. Bakhashwain. A Novel Multiobjective Evolutionary Algorithm for Optimal Reactive Power Dispatch Problem. In Proceedings of the 200310thIEEEInternationalConferenceon Electronics,Circuits and Systems, 2003 (ICECS 2003),volume 3, pages1054–1057.IEEE, December 2003. 51 Mohammad A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem. In Christine L. Mumford and Lakhmi C. Jain, editors, Computational Intelligence Collaboration, Fusion and Emergence, Studies in Computational Intelligence (SCI), pages 47–82. Springer, Berlin, 2009. ISBN 978-3-642-01799-5. 52 LixinTangabndXianpengWang. AHybridMultiobjectiveEvolutionaryAl- gorithm for Multiobjective Optimization Problems. IEEE Transactions on EvolutionaryComputation,17(1):20–45,February2013. 53 M.A. Abo-Sinna, Y. Yousria Abo-Elnaga, and A.A. Mousa. An interactive dynamic approach based on hybrid swarm optimization for solving multiob- jective programmingproblem with fuzzy parameters. Applied Mathematical Modelling,38(7-8):2000–2014,April12014. 54 M.AbouhamzeandM.Shakeri. Multi-objectivestackingsequenceoptimiza- tionof laminatedcylindricalpanelsusinga geneticalgorithmandneuralnet- works. CompositeStructures,81(2):253–263,November2007. 55 Mohamed Abouhawwash and Kalyanmoy Deb. Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients. In 2016 Genetic and Evolutionary Computation Conference (GECCO’2016), pages 525–532, Denver, Colorado, USA, 20-24 July 2016. ACM Press. ISBN978-1-4503-4206-3. 56 R. Aboulaich, R. Ellaia, and S. El Moumen. The Mean-Variance-CVaR model for Portfolio Optimization Modeling using a Multi-Objective Ap- proachBasedona HybridMethod. MathematicalModellingofNaturalPhe- nomena,5(7):103–108,2010. 57 AjithAbraham,CrinaGrosan,SangYongHan,andAlexanderGelbukh. Evo- lutionary Multiobjective Optimization Approach for Evolving Assemble of Intelligent Paradigms for Stock Market Modeling. In Alexander Gelbukh, ´ Alvaro de Albornoz, and Hugo Terashima-Mar´ın, editors, MICAI 2005: Ad- vancesinArtificialIntelligence,pages673–681,Monterrey,Me´xico,Novem- ber2005.Springer.LectureNotesinArtificialIntelligenceVol.3789. 658 Ajith Abraham and LakhmiJain. EvolutionaryMultiobjectiveOptimization. In Ajith Abraham, Lakhmi Jain, and Robert Goldberg, editors, Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pages 1–6.Springer,USA, 2005. 59 Ajith Abraham, Lakhmi Jain, and Robert Goldberg, editors. Evolution- ary Multiobjective Optimization. Theoretical Advances and Applications. Springer,USA, 2005. ISBN 1-85233-787-7. 60 AjithAbraham,HongboLiu,CrinaGrosan,andFatosXhafa. NatureInspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimiza- tion Approaches. In Fatos Xhafa and Ajith Abraham, editors, Metaheuris- tics for Scheduling in Distributed Computing Environments, pages 247–272. Springer. Studies in Computational Intelligence Vol. 146, Berlin, Germany, 2008. 61 J.A.R. Abraham and I.C. Parmee. Extraction of Emerging Multi-Objective Design Information from COGA Data. In I.C. Parmee, editor, Adaptive Computing in Design and Manufacture VI, pages 221–233, London, 2004. Springer. 62 AhmadAbubaker,AdamBaharum,andMahmoudAlrefaei. AutomaticClus- teringUsingMulti-ObjectiveParticle SwarmandSimulatedAnnealing. Plos One,10(7),July1 2015. Article Number: e0130995. 63 Ahmed R. Abul’Wafa. Optimization of economic/emissionload dispatch for hybrid generating systems using controlled Elitist NSGA-II. Electric Power Systems Research,105:142–151,December2013. 64 Giovanni Acampora, Hisao Ishibuchi, and Autilia Vitiello. A Comparison ofMulti-ObjectiveEvolutionaryAlgorithmsfortheOntologyMeta-Matching Problem. In2014IEEECongressonEvolutionaryComputation(CEC’2014), pages 413–420, Beijing, China, 6-11 July 2014. IEEE Press. ISBN 978-1- 4799-1488-3. 65 Adnan Acan and Ahmet Unveren. Evolutionary Multiobjective Optimiza- tion with a Segment-Based External Memory Support for the Multiobjective Quadratic Assignment Problem. In 2005 IEEE Congress on Evolutionary Computation(CEC’2005),volume3,pages2723–2729,Edinburgh,Scotland, September2005.IEEEServiceCenter. 66 Merin Achankunju, R. Pushpalakshmi, and A. Vincent Antony Kumar. Par- ticle Swarm Optimization based secure QoS clustering for Mobile Ad hoc Network. In 2013 International Conference on Communications and Signal Processing (ICCSP 2013), pages 315–320, Melmaruvathur, India, April 3-5 2013.IEEEPress. ISBN 978-1-4673-4866-9. 67 Jesu´s Antonio Acosta Sarmiento. Aprendizaje de Particiones Difusas para RazonamientoInductivo. PhDthesis,Departamentd’EnginyeriadeSistemes, 7Automa`tica i Informa`tica Industrial, Universitat Polite`cnica de Catalunya, Barcelona,Spain,December2006. (InSpanish). 68 M.RezaeiAdaryaniandA. Karami. Artificialbeecolonyalgorithmforsolv- ing multi-objective optimal power flow problem. International Journal of ElectricalPower & EnergySystems,53:219–230,December2013. 69 J. Adeyemo and F.A.O. Otieno. Multi-Objective Differential Evolution Al- gorithm for Solving Engineering Problems. Journal of Applied Sciences, 9(20):3652–3661,2009. 70 J. A. Adeyemoand O. O. Olofintoye. Evaluationof CombinedPareto Multi- objectiveDifferentialEvolutiononTuneableProblems. InternatioanlJournal ofSimulationModelling,13(3):276–287,September2014. 71 Josiah Adeyemo, Faizal Bux, and Fred Otieno. Differential evolution algo- rithm for crop planning: Single and multi-objective optimization model. In- ternational Journal Of The Physical Sciences, 5(10):1592–1599, September 42010. 72 Josiah Adeyemoand Fred Otieno. DifferentialEvolutionalgorithm for solv- ing multi-objective crop planning model. Agricultural Water Management, 97(6):848–856,June2010. 73 A. M. Adham, N. Mohd-Ghazali, and R. Ahmad. Performanceoptimization ofamicrochannelheatsinkusingtheImprovedStrengthParetoEvolutionary Algorithm (SPEA2). Journal of Engineering Thermophysics, 24(1):86–100, January2015. 74 M. A. Adibi, M. Zandieh, and M. Amiri. Multi-objective scheduling of dy- namic job shop using variable neighborhood search. Expert Systems With Applications,37(1):282–287,January2010. 75 Salem Adra. Optimisation techniques for gas turbine engine control sys- tems. Master’s thesis, Department of Computer Science, The University of Sheffield,UK, 27August2003. 76 Salem F. Adra, Tony J. Dodd, Ian A. Griffin, and Peter J. Fleming. Conver- gence Accelaration Operator for Multiobjective Optimization. IEEE Trans- actionsonEvolutionaryComputation,13(4):825–847,August2009. 77 Salem F. Adra and Peter F. Fleming. A Diversity Management Operator for Evolutionary Many-Objective Optimisation. In Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao, and Marc Sevaux, editors, Evo- lutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pages 81–94. Springer. Lecture Notes in Computer Science Vol. 5467, Nantes,France,April2009. 878 Salem F. Adra and Peter J. Fleming. Progressive diversity management in evolutionarymultiobjective optimisation. In 2010 IEEE Congress on Evolu- tionary Computation (CEC’2010), pages 3852–3859,Barcelona, Spain, July 18–232010.IEEEPress. 79 Salem F. Adra and Peter J. Fleming. Diversity Managementin Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Compu- tation,15(2):183–195,April2011. 80 Salem F. Adra, Ian Griffin, and Peter J. Fleming. Hybrid Multiobjective Genetic Algorithm with a New Adaptive Local Search Process. In Hans- GeorgBeyeretal.,editor,2005GeneticandEvolutionaryComputationCon- ference (GECCO’2005),volume1, pages1009–1010,New York,USA, June 2005.ACMPress. 81 SalemF.Adra,IanGriffin,andPeterJ.Fleming.AComparativeStudyofPro- gressivePreferenceArticulationTechniquesforMultiobjectiveOptimisation. In Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, andTadahikoMurata,editors,EvolutionaryMulti-CriterionOptimization,4th International Conference, EMO 2007, pages 908–921, Matshushima, Japan, March2007.Springer.LectureNotesinComputerScienceVol.4403. 82 Salem F. Adra, Ian Griffin, and Peter J. Fleming. An Informed Con- vergence Accelerator for Evolutionary Multiobjective Optimiser. In Dirk Thierens, editor, 2007 Genetic and Evolutionary Computation Conference (GECCO’2007), volume 1, pages 734–740, London, UK, July 2007. ACM Press. 83 SalemF.Adra,IanGriffin,andPeterJ.Fleming. AConvergenceAcceleration Technique for Multiobjective Optimisation. In Chi-Keong Goh, Yew-Soon Ong,andKayChenTan,editors,Multi-ObjectiveMemetic Algorithms,chap- ter 9, pages 183–205. Springer, Studies in Computational Intelligence, Vol. 171,Berlin,Germany,2009. ISBN 978-3-540-88050-9. 84 SalemF.Adra,AhmedI.Hamody,IanGriffin,andPeterJ.Fleming.AHybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network for Aircraft Control System Design. In 2005 IEEE Congress on Evolution- ary Computation (CEC’2005), volume 1, pages 1–8, Edinburgh, Scotland, September2005.IEEEServiceCenter. 85 SalemF.Adra,MariamKiran,PhilMcMinn,andNeilWalkinshaw. AMulti- objectiveOptimisationApproachForTheDynamicInferenceandRefinement ofAgent-BasedModelSpecifications. In2011IEEECongressonEvolution- ary Computation (CEC’2011), pages 2237–2244, New Orleans, Louisiana, USA, 5–8June2011.IEEEServiceCenter. 86 SalemFawazAdra.ImprovingConvergence,DiversityandPertinencyinMul- tiobjective Optimisation. PhD thesis, Department of Automatic Control and SystemsEngineering,TheUniversityofSheffield,UK,October2007. 987 S.F. Adra, I.A. Griffin, and P.J. Fleming. An Adaptive Memetic Algorithm for Enhanced Diversity. In I.C. Parmee, editor, Adaptive Computing in De- sign and Manufacture 2006. Proceedings of the Seventh International Con- ference, pages 251–254, Bristol, UK, April 2006. The Institute for People- centredComputation. 88 Jeroen C.J.H. Aerts, Marjan van Herwijnen, and Theodor J. Stewart. Us- ing Simulated Annealing and Spatial Goal Programmingfor Solving a Multi Site Land Use Allocation Problem. In Carlos M. Fonseca, Peter J. Flem- ing,EckartZitzler,KalyanmoyDeb,andLotharThiele,editors,Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pages448–463,Faro, Portugal,April2003.Springer.Lecture Notesin Com- puterScience.Volume2632. 89 FredericoG.Guimaraes,ReinaldoM.Palhares,FelipeCampelo,andHajime Igarashi. Design of mixed h-2/h infinity control systems using algorithms inspired by the immune system. Information Sciences, 177(20):4368–4386, October2007. 90 ZouhalerAffi, BadreddineEl-Kribi,and LotfiRomdhane. Advancedmecha- tronic design using a multi-objective genetic algorithm optimization of a motor-driven four-bar system. Mechatronics, 17(9):489–500, November 2007. 91 F. Afsari, M. Eftekhari, E. Eslami, and P.-Y. Woo. Interpretability-based fuzzy decision tree classifier a hybrid of the subtractive clustering and the multi-objective evolutionary algorithm. Soft Computing, 17(9):1673–1686, September2013. 92 A.Afshar,F.Sharifi,andM.R.Jalali. Non-dominatedarchivingmulti-colony ant algorithm for multi-objectiveoptimization: Application to multi-purpose reservoiroperation. EngineeringOptimization,41(4):313–325,April2009. 93 A. Afshar, A. Kasaeian Ziaraty, A. Kaveh, and F. Sharifi. Nondominated ArchivingMulticolonyAntAlgorithminTime-CostTrade-OffOptimization. JournalofConstructionEngineeringandManagement,135(7):668–674,July 2009. 94 AbbasAfsharandHabibFathi.Fuzzymulti-objectiveoptimizationoffinance- based scheduling for construction projects with uncertainties in cost. Engi- neeringOptimization,41(11):1063–1080,November2009. 95 Abbas Afshar and Hamideh Kazemi. Multi objective calibration of large scaled water quality model using a hybrid particle swarm optimization and neural network algorithm. KSCE Journal of Civil Engineering, 16(6):913– 918,September2012. 96 AbbasAfshar,HamidehKazemi,andMotaharehSaadatpour. ParticleSwarm Optimizationfor AutomaticCalibration of LargeScale Water Quality Model 10(CE-QUAL-W2): Application to Karkheh Reservoir, Iran. Water Resources Management,25(10):2613–2632,August2011. 97 ArshadAfzalandKwang-YongKim. Multi-ObjectiveOptimizationofaPas- sive Micromixer Based on Periodic Variation of Velocity Profile. Chemical EngineeringCommunications,202(3):322–331,March4 2015. 98 Ehsan Afzalan and Mahmood Joorabian. Emission, reserve and economic loaddispatchproblemwith non-smoothandnon-convexcostfunctionsusing epsilon-multi-objective genetic algorithm variable. International Journal of ElectricalPower & EnergySystems,52:55–67,November2013. 99 AlexandrosAgapitosandSimonM.Lucas. EvolvingaStatistics ClassUsing ObjectOrientedEvolutionaryProgramming.InMarcEbner,MichaelO’Neill, Aniko´ Eka´rt, Leonardo Vanneschi, and Anna Isabel Esparcia-Alca´zar, edi- tors,GeneticProgramming,10thEuropeanConference,EuroGP2007,pages 291–300, Valencia, Spain, April 2007. Springer. Lecture Notes in Computer ScienceVol.4445. 100 Alexandros Agapitos, Julian Togelius, and Simon M. Lucas. Multiobjective techniques for the Use of State in Genetic Programming applied to Simu- lated Car Racing. In 2007 IEEE Congress on Evolutionary Computation (CEC’2007),pages1562–1569,Singapore,September2007.IEEEPress. 101 A. Agarwal, U. Tewary, F. Pettersson, S. Das, H. Saxen, and N. Chakraborti. Analysingblastfurnacedata usingevolutionaryneuralnetworkandmultiob- jective genetic algorithms. Ironmaking & Steelmaking, 37(5):353–359, July 2010. 102 AadityaAgarwalandSantoshK.Gupta. JumpinggeneadaptationsofNSGA- II and their use in the multi-objective optimal design of shell and tube heat exchangers. Chemical Engineering Research & Design, 86(A2):123–139, February2008. 103 AadityaAgarwalandSantoshK.Gupta.Multiobjectiveoptimaldesignofheat exchangernetworksusingnewadaptationsoftheelitistnondominatedsorting genetic algorithm, NSGA-II. Industrial & Engineering Chemistry Research, 47(10):3489–3501,May212008. 104 Akash Agarwal, FrankPettersson, ArunimaSingh, Chang Sun Kong,Henrik Saxe´n, Krishna Rajan, Shuichi Iwata, and Nirupam Chakraborti. Identifica- tion and Optimization of AB Phases Using Principal Component Analysis, 2 EvolutionaryNeuralNets,andMultiobjectiveGeneticAlgorithms. Materials andManufacturingProcesses, 24(3):274–281,March2009. 105 ManojAgarwal, Nitin Agrawal, Shikhar Sharma,LovekeshVig, and Naveen Kumar. Parallel multi-objectivemulti-robotcoalition formation. Expert Sys- tems With Applications,42(21):7797–7811,November302015. 11106 Manoj Agarwal, Naveen Kumar, and Lovekesh Vig. Non-additive multi- objective robot coalition formation. Expert Systems with Applications, 41(8):3736–3747,June152014. 107 Manoj Agarwal, Lovekesh Vig, and Naveen Kumar. Multi-objective Robot Coalition Formation for Non-additive Environments. In Sabina Jeschke, Honghai Liu, and Daniel Schilberg, editors, Intelligent Robotics and Appli- cations,4thInternationalConference,ICIRA2011,pages346–355.Springer. LectureNotesinArtificialIntelligenceVol.7101,Aachen,Germany,Decem- ber6-82011. 108 P. Agarwal and A.M. Raich. Design and optimization of steel trusses us- ing geneticalgorithms,parallelcomputing,and human-computerinteraction. StructuralEngineeringandMechanics,23(4):325–337,July2006. 109 Pranab Agarwal. Conceptual design of long-span trusses using multi-stage heuristics. Master’s thesis, Texas A&M University, College Station, Texas, USA, 2005. 110 Elson Agastra, Leonardo Lucci, Renzo Nesti, Giuseppe Pelosi, and Stefano Selleri. Modified NSGA-II Algorithm for Multiobjective Optimization of Compact High-Efficiency Square Horns. International Journal of RF and Microwave Computer-AidedEngineering,21(2):174–181,March2011. 111 Elson Agastra, Giuseppe Pelosi, Stefano Selleri, and Ruggero Taddei. Taguchi’s method for multi-objective optimization problems. International Journalof RFandMicrowave Computer-AidedEngineering,23(3):357–366, May2013. 112 Varun Aggarwal and Una-May O’Reilly. COSMO: A Correlation Sen- sitive Mutation Operator for Multi-Objective Optimization. In Dirk Thierens, editor, 2007 Genetic and Evolutionary Computation Conference (GECCO’2007), volume 1, pages 741–748, London, UK, July 2007. ACM Press. 113 EleniAggelogiannakiandHaralarnbosSarimveis. Simulatedannealingalgo- rithm for prioritized multiobjective optimization-implementationin an adap- tive model predictive control configuration. IEEE Transactions on Systems, Man,andCyberneticsPart B–Cybernetics,37(4):902–915,August2007. 114 Hadi Aghassi, Sedigheh Nader Abadi, and Emad Roghanian. A Multi- objective Genetic Algorithm for Optimization Time-Cost Trade-offSchedul- ing. In Dickson Lukose, Abdul Rahim Ahmad, and Azizah Suliman, edi- tors,KnowledgeTechnology,ThirdKnowledgeTechnologyWeek, KTW 2011, pages356–359.Springer.CommunicationsinComputerandInformationSci- enceVol.295,Kajang,Malaysia,July 18-222011. 12115 Brahim Aghezzaf and Mohamed Naimi. The two-stage recombinationoper- ator and its application to the multiobjective 0/1 knapsack problem: A com- parative study. Computers & Operations Research, 36(12):3247–3262, De- cember2009. 116 D. K. Agrafiotis. Multiobjective Optimization of Combinatorial Libraries. MolecularDiversity, 5(4):209–230,2000. 117 D.K.Agrafiotis. Multiobjectiveoptimizationofcombinatoriallibraries. IBM JournalofResearchandDevelopment,45(3-4):545–566,May-July2001. 118 D.K.Agrafiotis.Multiobjectiveoptimizationofcombinatoriallibraries.Jour- nalofComputer-AidedMolecularDesign,16(5-6):335–356,May-June2002. 119 N.Agrawal,G.P.Rangaiah,A.K.Ray,andS.K.Gupta. Multi-ObjectiveOpti- mizationoftheOperationofanIndustrialLow-DensityPolyethyleneTubular ReactorUsing GeneticAlgorithmandItsJumpingGene Adaptations. Indus- trial andEngineeringChemistry Research,45:3182–3199,2006. 120 Naveen Agrawal, G. P. Rangaiah, Ajay K. Ray, and Santosh K. Gupta. De- signstageoptimizationofanindustriallow-densitypolyethylenetubularreac- tor for multiple objectives using NSGA-II and its jumping gene adaptations. ChemicalEngineeringScience,62(9):2346–2365,May2007. 121 ShikhaAgrawalandSanjaySilakari. FRPSO:Fletcher-ReevesBasedParticle SwarmOptimizationforMultimodalFunctionOptimization.SoftComputing, 18(11):2227–2243,November2014. 122 Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari, and Young-Jun Son. Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multi- objectiveOptimization.IEEETransactionsonSystems,Man,andCybernetics Part A–SystemsandHumans,38(2):258–277,March2008. 123 Shubham Agrawal, B.K. Panigrahi, and Manoj Kumar Tiwari. Multiobjec- tive Particle Swarm Algorithm with Fuzzy Clustering for Electrical Power Dispatch. IEEE Transactions on EvolutionaryComputation, 12(5):529–541, October2008. 124 Jose Aguilar and Pablo Miranda. Approaches Based on Genetic Algorithms for Multiobjective Optimization Problems. In Wolfgang Banzhaf, Jason Daida,AgostonE.Eiben,MaxH.Garzon,VasantHonavar,MarkJakiela,and Robert E. Smith, editors, GECCO–99: Proceedings of the Genetic and Evo- lutionary ComputationConference, volume 1, pages 3–10, Orlando,Florida, USA, 1999.MorganKaufmannPublishers. 125 Jose AguilarandPabloMiranda. Resolutionofthe LeftVentricle3DRecon- structionProblemusingApproachesbasedonGeneticAlgorithmforMultiob- jectiveProblems. In1999CongressonEvolutionaryComputation,volume2, pages913–920,Washington,D.C.,July 1999.IEEEServiceCenter. 13126 A.A.Aguilar-Lasserre,L.Piboleau,andC.Azzaro-Pantel. Enhancedgenetic algorithm-basedfuzzymultiobjectivestrategytomultiproductbatchplantde- sign. AppliedSoftComputing,9(4):1321–1330,September2009. 127 Alberto A. Aguilar-Lasserre, Marco A. Bautista Bautista, Antonin Ponsich, andMagnoA.GonzalezHuerta. AnAHP-baseddecision-makingtoolforthe solutionofmultiproductbatchplantdesignproblemunderimprecisedemand. Computers& OperationsResearch,36(3):711–736,March2009. 128 H. Aguirre and K. Tanaka. Random bit climbers on multiobjective MNK- Landscapes: Effects of memory and population climbing. IEICE Transac- tions on Fundamentals of Electronics Communications and Computer Sci- ences,E88A(1):334–345,January2005. 129 Hernan Aguirre, Yasushi Fuwa, Eiki Motoyama, Tsutomu Nonoyarna, and HaruoKaneko. Evolutionarymultiobjectiveoptimizationoftopologiesforan urban ad-hoc network. In 2007 IEEE International Conference on Systems, Man and Cybernetics, Vols 1-8, pages 3376–3381, Montreal, Cook Islands, October07-102007.IEEE. ISBN 978-1-4244-0990-7. 130 Herna´nAguirre, ArnaudLiefooghe,Se´bastien Verel, and KiyoshiTanaka. A Study on Population Size and Selection Lapse in Many-objective Optimiza- tion. In 2013 IEEE Congress on Evolutionary Computation (CEC’2013), pages 1507–1514, Cancu´n, Me´xico, 20-23 June 2013. IEEE Press. ISBN 978-1-4799-0454-9. 131 Herna´n Aguirre, Arnaud Liefooghe, Se´bastien Verel, and Kiyoshi Tanaka. An Analysis on Selection for High-Resolution Approximations in Many- ObjectiveOptimization. InThomasBartz-Beielstein,Ju¨rgenBranke,Bogdan Filipicˇ,andJimSmith,editors,ParallelProblemSolvingfromNature-PPSN XIII,13thInternationalConference,pages487–497.Springer.LectureNotes inComputerScienceVol. 8672,Ljubljana,Slovenia,September13-172014. 132 Herna´nAguirre,HiroyukiOkazaki,andYasushiFuwa. AnEvolutionaryMul- tiobjective Approach to Design Highly Non-linear Boolean Functions. In Dirk Thierens, editor, 2007 Genetic and Evolutionary Computation Confer- ence (GECCO’2007), volume 1, pages 749–756, London, UK, July 2007. ACM Press. 133 Herna´n Aguirre, Akira Oyama, and Kiyoshi Tanaka. Adaptive ǫ-Sampling andǫ-HoodforEvolutionaryMany-ObjectiveOptimization. InRobinC.Pur- shouse,PeterJ.Fleming,CarlosM.Fonseca,SalvatoreGreco,andJaneShaw, editors,EvolutionaryMulti-CriterionOptimization,7thInternationalConfer- ence, EMO 2013, pages 322–336.Springer. Lecture Notes in Computer Sci- enceVol.7811,Sheffield,UK,March19-222013. 134 Herna´n Aguirre and Kiyoshi Tanaka. Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK- Landscapes. In Carlos A. Coello Coello, Arturo Herna´ndez Aguirre, and 14Eckart Zitzler, editors, Evolutionary Multi-Criterion Optimization. Third In- ternational Conference, EMO 2005, pages 355–369, Guanajuato, Me´xico, March2005.Springer.LectureNotesinComputerScienceVol.3410. 135 Herna´n Aguirre and Kiyoshi Tanaka. Robust Optimization by ǫ-Ranking on High Dimensional Objective Spaces. In Xiaodong Li, Michael Kirley, Mengjie Zhang, David Green, Vic Ciesielski, Hussein Abbass, Zbigniew Michalewicz,TimHendtlass,KalyanmoyDeb,KayChenTan,Ju¨rgenBranke, and Yuhui Shi, editors, Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pages 421–431. Springer. Lecture Notes in Com- puterScience,Vol.5361,Melbourne,Australia,December7-102008. 136 Hernan Aguirre and Kiyoshi Tanaka. Adaptive ǫ-Ranking on MNK- Landscapes. In 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM’2009), pages 104–111, Nashville, TN,USA, March30-April2 2009.IEEEPress. ISBN 978-1-4244-2764-2. 137 Herna´nAguirreandKiyoshiTanaka. Many-ObjectiveOptimizationbySpace Partitioning and Adaptive ǫ-Ranking on MNK-Landscapes. In Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux,Jin-Kao Hao, and Marc Se- vaux, editors, Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pages 407–422. Springer. Lecture Notes in Com- puterScienceVol. 5467,Nantes,France,April2009. 138 Herna´nAguirreandKiyoshiTanaka. AHybridScalarizationandAdaptiveǫ- RankingStrategyforMany-ObjectiveOptimization. InRobertSchaefer,Car- los Cotta, Joanna Kołodziej, and Gu¨nter Rudolph, editors, Parallel Problem Solving from Nature–PPSN XI, 11th International Conference, Proceedings, PartII,pages11–20.Springer,LectureNotesinComputerScienceVol.6239, Krako´w,Poland,September2010. 139 Herna´nAguirreandKiyoshiTanaka. Astudyontheeffectsofrankingssensi- tivetodensityonmany-objectiveMNKLandscapes. In2010IEEECongress on Evolutionary Computation (CEC’2010), pages 1089–1096, Barcelona, Spain,July18–232010.IEEEPress. 140 Herna´nAguirreandKiyoshiTanaka. SpacePartitioningEvolutionaryMany- ObjectiveOptimization: PerformanceAnalysisonMNK-Landscapes. Trans- actions of the Japanese Society for Artificial Intelligence, 25(2):363–376, 2010. 141 Herna´n Aguirre, Yuki Yazawa, Akira Oyama, and Kiyoshi Tanaka. Extend- ing AǫSǫH from Many-objective to Multi-objective Optimization. In Grant Dick,WillN.Browne,PeterWhigham,MengjieZhang,LamThuBui,Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, and Ke Tang, editors, Simulated Evolution and Learning, 10th Interna- tional Conference, SEAL 2014, pages 239–250. Springer. Lecture Notes in ComputerScienceVol.8886,Dunedin,NewZealand,December15-182014. 15142 Herna´n Aguirre, Sau´l Zapotecas, Arnaud Liefooghe, Se´bastien Verel, and KiyoshiTanaka. ApproachesforMany-ObjectiveOptimization: Analysisand Comparisonon MNK-Landscapes. InSte´phaneBonnevay,PierrickLegrand, Nicolas Monmarche´, Evelyne Lutton, and Marc Schoenauer (Eds.), editors, ArtificialEvolution,12thInternationalConference,EvolutionArtificielle,EA 2015, pages 14–28. Springer. Lecture Notes in Computer Science Vol. 9554, Lyon,France,October26-282015. 143 Herna´n E. Aguirre, Masahiko Sato, and Kiyoshi Tanaka. Preliminary Study on the Performance of Multi-objective EvolutionaryAlgorithms with MNK- Landscapes. In Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pages 315–318, Hawaii, USA, March 2004. The Research Institute of Signal Processing Japan. 144 Herna´n E. Aguirre and Kiyoshi Tanaka. Effects of Elitism and Population Climbing on MultiobjectiveMNK-Landscapes. In 2004 Congress on Evolu- tionary Computation (CEC’2004), volume 1, pages 449–456, Portland, Ore- gon,USA, June2004.IEEEServiceCenter. 145 Herna´n E. Aguirre and Kiyoshi Tanaka. Insights on Properties of Multiob- jective MNK-Landscapes. In 2004 Congress on Evolutionary Computation (CEC’2004), volume 1, pages 196–203, Portland, Oregon, USA, June 2004. IEEEServiceCenter. 146 Herna´n E. Aguirre and Kiyoshi Tanaka. Working principles, behavior, and performance of MOEAs on MNK-landscapes. European Journal of Opera- tionalResearch,181(3):1670–1690,16September2007. 147 Herna´n E. Aguirre and Kiyoshi Tanaka. Space partitioning with adaptive ǫ-rankingandsubstitutedistanceassignments: acomparativestudyonmany- objective MNK-landscapes. In 2009 Genetic and EvolutionaryComputation Conference (GECCO’2009), pages 547–554, Montreal, Canada, July 8–12 2009.ACMPress. ISBN 978-1-60558-325-9. 148 Herna´n E. Aguirre, Kiyoshi Tanaka, Tatsuo Sugimura, and Shinjiro Os- hita. Halftone Image Generation with Improved Multiobjective Genetic Al- gorithm. In EckartZitzler, KalyanmoyDeb, LotharThiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolu- tionary Multi-Criterion Optimization, pages 501–515. Springer-Verlag. Lec- tureNotesin ComputerScienceNo.1993,2001. 149 Herna´n Eduardo Aguirre Dura´n. Generational Parallel Varying Mutation GAs and their Applications. PhD thesis, Shinshu University, Japan, March 2003. 150 Jose´ Luis Bernal Agust´ın. Aplicacion de Algoritmos Geneticos al Diseno ´ ´ ˜ ´ Optimo de Sistemas de Distribucion de Energıa Electrica. PhD thesis, De- ´ ´ ´ partment of Electrical Engineering, University of Zaragoza, Spain, January 1998. (InSpanish). 16151 Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Automatic Parame- ter Selection for Object Recognition using a Parallel Multiobjective Genetic Algorithm. In Proceedingsof the 7th InternationalConferenceon Computer Analysis of Images and Patterns (CAIP’97),Lecture Notes in Computer Sci- ence1296,pages559–566,Kiel,Germany,September1997.SpringerVerlag. 152 Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimal Pairwise Geometric Histograms. In AdrianF. Clark, editor, Electronic Proceedingsof theEighthBritishMachineVisionConference,BMVC97,UniversityofEssex, UnitedKingdom,September1997. 153 Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimising Object RecognitionParametersusingaParallelMultiobjectiveGeneticAlgorithm.In Proceedingsofthe2ndIEE/IEEEInternationalConferenceonGeneticAlgo- rithmsinEngineeringSystems: InnovationsandApplications(GALESIA’97), pages1–6,Glasgow,Scotland,September1997.IEE. 154 A. S. Ahlawat and A. Ramaswamy. Multiobjective optimal FLC driven hy- brid mass damper system for torsionally coupled, seismically excited struc- tures. Earthquake Engineering & Structural Dynamics, 31(12):2121–2139, December2002. 155 A. S. Ahlawat and A Ramaswamy. Multiobjective optimal fuzzy logic con- trol system for response control of wind-excited tall buildings. Journal of EngineeringMechanics-Asce,130(4):524–530,April2004. 156 A. S. Ahlawat and A. Ramaswamy. Multiobjective optimal fuzzy logic con- troller driven active and hybrid control systems for seismically excited non- linear buildings. Journal of Engineering Mechanics-Asce, 130(4):416–423, April2004. 157 A.S.AhlawatandA.Ramaswamy.Multiobjectiveoptimalstructuralvibration controlusing fuzzy logic controlsystem. Journalof Structural Engineering- ASCE,127(11):1330–1337,November2001. 158 A.S. Ahlawat and A. Ramaswamy. Multi-objective optimal design of FLC driven hybrid mass damper for seismically excited structures. Earthquake Engineering& StructuralDynamics,31(7):1459–1479,July 2002. 159 M. Ahmadi, Omid Bozorg-Haddad, and M. A. Marino. Extraction of Flexi- ble Multi-Objective Real-Time Reservoir Operation Rules. Water Resources Management,28(1):131–147,January2014. 160 Mohammad H. Ahmadi, Mohammad-Ali Ahmadi, and Michel Feidt. Ther- modynamicAnalysis and EvolutionaryAlgorithm Based on Multi-Objective OptimizationofPerformanceforIrreversibleFour-Temperature-LevelRefrig- eration. Mechanics& Industry,16(2),March2015. Article Number: 207. 17161 Mohammad H. Ahmadi, Mohammad Ali Ahmadi, Amir H. Mohammadi, Michel Feidt, and Seyed Mohsen Pourkiaei. Multi-objective optimization of an irreversible Stirling cryogenic refrigerator cycle. Energy Conversion and Management,82:351–360,June2014. 162 Mohammad H. Ahmadi, Mohammad Ali Ahmadi, and Seyed Abbas Sadat- sakkak. Thermodynamic Analysis and Performance Optimization of Irre- versible Carnot Refrigerator by Using Multi-Objective Evolutionary Algo- rithms(MOEAs). Renewable& SustainableEnergyReviews,51:1055–1070, November2015. 163 Mohammad H. Ahmadi, Amir H. Mohammadi, Saeed Dehghani, and Marco A. Barranco-Jimenez. Multi-Objective Thermodynamic-Based Opti- mization of OutputPower of Solar Dish-Stirling Engineby Implementingan EvolutionaryAlgorithm. Energy Conversion and Management, 75:438–445, November2013. 164 MohammadHossein Ahmadi, MohammadAli Ahmadi, Adel Mellit, Fathol- lahPourfayaz,andMichelFeidt. ThermodynamicAnalysisandMultiObjec- tive Optimization of Performance of Solar Dish Stirling Engine by the Cen- trality of Entransyand EntropyGeneration. InternationalJournalof Electri- calPower & EnergySystems,78:88–95,June2016. 165 Muhammad Ahmadi, Ashkan Yousefi, Alireza Soroudi, and Mehdi Ehsan. MultiobjectivedistributedgenerationplanningusingNSGA-II. In200813th Power Electronics and MotionControl Conference,EPE-PEMC2008,pages 1847–1851,Poznan,Poland, September1-32008.IEEE Press. ISBN 978-1- 4244-1741-4. 166 P. Ahmadi, A. Almasi, M. Shahriyari, and I. Dincer. Multi-objective opti- mizationof a combinedheatandpower(CHP) system forheatingpurposein a paper mill using evolutionary algorithm. International Journal of Energy Research,36(1):46–63,January2012. 167 Pouria Ahmadi and Ibrahim Dincer. Thermodynamic analysis and thermoe- conomic optimization of a dual pressure combined cycle power plant with a supplementaryfiringunit. EnergyConversionandManagement,52(5):2296– 2308,May2011. 168 PouriaAhmadiandIbrahimDincer. Thermodynamicandexergoenvironmen- tal analyses, and multi-objective optimization of a gas turbine power plant. AppliedThermalEngineering,31(14-15):2529–2540,October2011. 169 PouriaAhmadi,Hassan Hajabdollahi,andIbrahimDincer. CostandEntropy Generation Minimization of a Cross-Flow Plate Fin Heat Exchanger Using Multi-Objective Genetic Algorithm. Journal of Heat Transfer-Transactions ofthe ASME,133(2),February2011. Article Number: 021801. 18170 Sadra Ahmadi, Chung-Hsing Yeh, Rodney Martin, and Elpiniki Papageor- giou. Optimizing ERP Readiness Improvements Under Budgetary Con- straints. International Journal of Production Economics, 161:105–115, March2015. 171 Kushan Ahmadian, Abbas Golestani, Morteza Analoui, and Mohammad R. Jahed. Evolving ensemble of classifiers in low-dimensional spaces using multi-objectiveevolutionaryapproach. In R. Lee, M. U. Chowdhury,S. Ray, and T. Lee, editors, 6th IEEE/ACIS International Conference on Computer andInformationScience,Proceedings,pages217–222,Melbourne,Australia, July11-132007.IEEEComputerSociety. ISBN 978-0-7695-2841-0. 172 Kushan Ahmadian, Abbas Golestani, Nasser Mozayani, and Peyman Kabiri. Anewmulti-objectiveevolutionaryapproachforcreatingensembleofclassi- fiers. In2007IEEEInternationalConferenceonSystems,ManandCybernet- ics, Vols 1-8, pages 876–881, Montreal, Cook Islands, October 07-10 2007. IEEE. ISBN978-1-4244-0990-7. 173 Faez Ahmed and Kalyanmoy Deb. Multi-Objective Optimal Path Planning Using Elitist Non-Dominated Sorting Genetic Algorithms. Soft Computing, 17(7):1283–1299,July2013. 174 Faez Ahmed, Kalyanmoy Deb, and Abhilash Jindal. Multi-objective opti- mization and decision making approachesto cricket team selection. Applied SoftComputing,13(1):402–414,January2013. 175 Faez Ahmed, Abhilash Jindal, and Kalyanmoy Deb. Cricket Team Selec- tionUsingEvolutionaryMulti-objectiveOptimization. InBijayaKetanPani- grahi,PonnuthuraiNagaratnamSuganthan,SwagatamDas,andSureshChan- dra Satapathy, editors, Swarm, Evolutionary, and Memetic Computing, Sec- ondInternationalConference,SEMCCO2011,pages71–78,Visakhapatnam, Andhra Pradesh, India, December 19-21 2011. Springer. Lecture Notes in ComputerScienceVol.7077. 176 Faez Ahmed and David Purdy. Controller Design of Active SuspensionSys- temwithTerrainPreviewUsingEvolutionaryMulti-objectiveAlgorithms. In Kusum Deep, Atulya Nagar, Millie Pant, and Jagdish Chand Bansal, editors, Proceedings of the InternationalConference on Soft Computing for Problem Solving (SocProS 2011), pages 865–876. Springer. Advances in Intelligent andSoftComputingVol. 131,December20-222011. 177 C. W. Ahn and J. C. Yoo. Multi-objective evolutionary approach to coding- linkcosttrade-offsinnetworkcoding. ElectronicsLetters, 48(25),December 62012. 178 ChangWookAhn. AdvancesinEvolutionaryAlgorithms.Theory,Designand Practice. Springer,2006. ISBN3-540-31758-9. 19179 ChangWookAhn,EungyeongKim,Hyun-TaeKim,Dong-HyunLim,andJi- nungAn. A hybridmultiobjectiveevolutionaryalgorithm: Strikingabalance with localsearch. MathematicalandComputer Modelling,52(11–12):2048– 2059,December2010. 180 Chang Wook Ahn and Yehoon Kim. Improving Proximity and Diversity in MultiobjectiveEvolutionaryAlgorithms. IEICETransactionsonInformation andSystems, E93D(10):2879–2882,October2010. 181 Chang Wook Ahn and R.S. Ramakrishna. Multiobjective Real-coded Bayesian OptimizationAlgorithm Revisited: Diversity Preservation. In Dirk Thierens, editor, 2007 Genetic and Evolutionary Computation Conference (GECCO’2007), volume 1, pages 593–600, London, UK, July 2007. ACM Press. 182 ChangWook Ahnand R.S. Ramakrishna. A diversitypreservingselectionin multiobjectiveevolutionaryalgorithms. AppliedIntelligence,32(3):231–248, June2010. 183 A. Ahuja, S. Das, and A. Pahwa. An AIS-ACO Hybrid Approachfor Multi- Objective Distribution System Reconfiguration. In Bijaya Ketan Panigrahi, Ajith Abraham, and Swagatam Das, editors, Computational Intelligence in Power Engineering, Studies in Computational Intelligence Vol. 302, pages 19–73.Springer,Berlin,Germany,2010. ISBN 978-3-642-14012-9. 184 Ashish Ahuja, Sanjoy Das, and Anil Pahwa. An AIS-ACO hybrid approach formulti-objectivedistributionsystemreconfiguration.IEEETransactionson Power Systems,22(3):1101–1111,August2007. 185 G. Aiello, M. Enea, and G. Galante. A Multi-objective Approach to Facility Layout Problem by Genetic Search Algorithm and Electre Method. Robotics and Computer-Integrated Manufacturing, 22(5-6):447– 455,October-December2006. 186 GiuseppeAiello,GiadaLaScalia,andMarioEnea. Amultiobjectivegenetic algorithm for the facility layout problembased upon slicing structure encod- ing. Expert Systems with Applications, 39(12):10352–10358, Semptember 2012. 187 GiuseppeAiello,GiadaLaScalia,andMarioEnea. Anondominatedranking Multi Objective Genetic Algorithm and electre method for unequal area fa- cilitylayoutproblems. ExpertSystemswithApplications,40(12):4812–4819, September152013. 188 Raja Noor Ainon, Awang M. Bulgiba, and Adel Lahsasna. AMI Screening Using Linguistic Fuzzy Rules. Journal of Medical Systems, 36(2):463–473, April2012. 20

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