Multi-Objective High-Fidelity Optimization Using NSGA-III and MO-RPSOLC  

作　　者：N.Ganesh Uvaraja Ragavendran Kanak Kalita Paras Jain Xiao-Zhi Gao 

机构地区：[1]Department of Computer Science and Engineering,Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai,600062,India [2]Department of Electronics and Telecommunication Engineering,MPSTME SVKM’S Narsee Monjee Institute of Management Studies,Shirpur,425405,India [3]Department of Mechanical Engineering,Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Avadi,600062,India [4]School of Computing Science and Engineering,VIT Bhopal University,Sehore,466114,India [5]School of Computing,University of Eastern Finland,Kuopio,70211,Finland

出　　处：《Computer Modeling in Engineering & Sciences》2021年第11期443-464,共22页工程与科学中的计算机建模（英文）

摘　　要：Optimizing the performance of composite structures is a real-world application with significant benefits.In this paper,a high-fidelity finite element method(FEM)is combined with the iterative improvement capability of metaheuristic optimization algorithms to obtain optimized composite plates.The FEM module comprises of ninenode isoparametric plate bending element in conjunction with the first-order shear deformation theory(FSDT).A recently proposed memetic version of particle swarm optimization called RPSOLC is modified in the current research to carry out multi-objective Pareto optimization.The performance of the MO-RPSOLC is found to be comparable with the NSGA-III.This work successfully highlights the use of FEM-MO-RPSOLC in obtaining highfidelity Pareto solutions considering simultaneous maximization of the fundamental frequency and frequency separation in laminated composites by optimizing the stacking sequence.

关 键 词：COMPOSITES finite element OPTIMIZATION PARETO swarm intelligence 

分 类 号：TB3[一般工业技术—材料科学与工程]