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A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation
Evolutionary algorithms (EAs) have shown to be efficient in dealing with many-objective optimization problems (MaOPs) due to their ability to obtain a set of compromising solutions which not only converge toward the Pareto ...
A many-objective algorithm based on staged coordination selection
Convergence and diversity are two performance requirements that should be paid attention to in evolutionary algorithms. Most multiobjective evolutionary algorithms (MOEAs) try their best to maintain a balance between the ...
A many-objective evolutionary algorithm based on rotation and decomposition
Evolutionary algorithms have shown their promise in addressing multiobjective problems (MOPs). However, the Pareto dominance used in multiobjective optimization loses its effectiveness when addressing many-objective problems ...