Pareto Dominance-Based Algorithms With Ranking Methods for Many-Objective Optimization
In Pareto dominance-based multi-objective evolutionary algorithms (PDMOEAs), Pareto dominance fails to provide the essential selection pressure required to drive the search toward convergence in many-objective optimization problems (MaOPs). Recently, the idea of using secondary criterion, such as kn...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2017-01-01
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| Edice: | IEEE Access |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/7950899/ |
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