@Article{cmes.2021.014960,
AUTHOR = {N. Ganesh, Uvaraja Ragavendran, Kanak Kalita, Paras Jain, Xiao-Zhi Gao},
TITLE = {Multi-Objective High-Fidelity Optimization Using NSGA-III and MO-RPSOLC},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {129},
YEAR = {2021},
NUMBER = {2},
PAGES = {443--464},
URL = {http://www.techscience.com/CMES/v129n2/44817},
ISSN = {1526-1506},
ABSTRACT = {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.},
DOI = {10.32604/cmes.2021.014960}
}