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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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/138543 |
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Institution: | Nanyang Technological University |
Language: | English |