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View all- Ouyang HChen JLi SXiang JZhan Z(2023)Altruistic population algorithmMathematics and Computers in Simulation10.1016/j.matcom.2023.03.004210:C(296-319)Online publication date: 1-Aug-2023
Most existing multimodal multi-objective evolutionary algorithms only search the global Pareto front of the problem while ignoring the excellent local Pareto front of the problem. To address this issue, an optimization algorithm with population ...
Multi-objective optimization is one of the most important problem in the mathematical optimization. Some researchers have already proposed several multi-objective fireworks algorithms, of which S-metric based multi-objective fireworks algorithm (S-...
Both problem characteristics in multimodality and multi-objective are involved in multimodal multi-objective optimization problems (MMOPs). How to locate diverse Pareto sets and approximate Pareto front simultaneously is a challenging research ...
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