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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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. 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