Cited By
View all- Yuskov AKulachenko IMelnikov AKochetov Y(2024)Stadium Antennas Deployment OptimizationMathematical Optimization Theory and Operations Research10.1007/978-3-031-62792-7_30(449-461)Online publication date: 30-Jun-2024
The large number of objectives in many-objective optimization problems (MaOPs) has posed significant challenges to the performance of multi-objective evolutionary algorithms (MOEAs) in terms of convergence and diversity. To design a more balanced ...
One of the key issues in solving constrained multi-objective optimization problems (CMOPs) is balancing the three indicators of convergence, diversity, and feasibility. We believe at different stages of the evolution, different ...
Due to the widespread existence of constrained multi-objective optimization problems (CMOPs) in real life, many researchers start to research the constrained multi-objective evolutionary algorithms (CMOEAs). Therefore, a variety of CMOEAs have ...
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