Crossover-first differential evolution for improved global optimization in non-uniform search landscapes
The differential evolution (DE) algorithm is currently one of the most widely used evolutionary-based optimizers for global optimization due to its simplicity, robustness and efficiency. The DE algorithm generates new candidate solutions by first conducting the mutation operation which is then follo...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Springer Berlin Heidelberg
2015
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| 主題: | |
| オンライン･アクセス: | https://eprints.ums.edu.my/id/eprint/19160/1/Crossover.pdf https://eprints.ums.edu.my/id/eprint/19160/ https://doi.org/10.1007/s13748-015-0061-1 |
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