An improved generalized evolutionary algorithm for constrained multimodal multiobjective optimization
Abstract When searching for constrained Pareto solutions in constrained multimodal multiobjective optimization problems (CMMOPs), infeasible solutions and local optimal solutions play an important role. Specifically, infeasible solutions can guide the algorithm toward regions that may eventually lea...
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| 主要な著者: | , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2025-12-01
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| シリーズ: | Complex & Intelligent Systems |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s40747-025-02164-5 |
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