Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation
This paper presents enhanced fitness-adaptive differential evolution algorithm with novel mutation (EFADE) for solving global numerical optimization problems over continuous space. A new triangular mutation operator is introduced. It is based on the convex combination vector of the triplet defined b...
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| Main Authors: | , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
2020
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| 在線閱讀: | https://hdl.handle.net/10356/138543 |
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