A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3131312
Abstract: Competitive swarm optimizers (CSOs) have shown very promising search efficiency in large-scale decision space. However, they face difficulties when solving large-scale multi-/many-objective optimization problems (LMOPs), as their winner particles are selected by random pairwise competition… read more here.
Keywords: large scale; competition; competitive swarm; search ... See more keywords