Multiple Objective Optimization with Weighted Superposition Attraction–Repulsion (moWSAR) Algorithm
Adil Baykasoğlu · WORLD SCIENTIFIC (EUROPE) eBooks · 2022
Weighted Superposition Attraction–Repulsion (WSAR) algorithm is a recently proposed swarm intelligence-based metaheuristic algorithm that is inspired from superposition principle of physics and attracted movements of agents. WSAR has been applied to many single objective unconstrained and constrained complex optimization problems successfully. In the present study, WSAR is applied to Multiple Objective Optimization (MOO) problems for the first time in the literature. Details of the WSAR algorithm along with applications to MOO problems that are collected from the literature are presented in this study. It is shown that WSAR is competitive and able to generate Pareto optimal solutions.