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

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

作者机构：Department of Computer Science and EngineeringVel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Department of Electronics and Telecommunication EngineeringMPSTME SVKM’S Narsee Monjee Institute of Management StudiesShirpur425405India Department of Mechanical EngineeringVel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyAvadi600062India School of Computing Science and EngineeringVIT Bhopal UniversitySehore466114India School of ComputingUniversity of Eastern FinlandKuopio70211Finland 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2021年第129卷第11期

页      面：443-464页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Composites finite element optimization Pareto swarm intelligence 

摘      要：Optimizing the performance of composite structures is a real-world application with significant *** this paper,a high-fidelity finite element method(FEM)is combined with the iterative improvement capability of metaheuristic optimization algorithms to obtain optimized composite *** 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 *** performance of the MO-RPSOLC is found to be comparable with the *** 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.