Evolutionary algorithms for solving multi-modal and multi-objective optimization problems
In artificial intelligence, evolutionary algorithms (EAs) have shown to be effective and robust in solving difficult optimization problems. EAs are generic population-based metaheuristic optimization algorithms. The mechanisms used in EAs are inspired by biological evolution: reproduction, mutation,...
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| 格式: | Theses and Dissertations |
| 語言: | English |
| 出版: |
2012
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| 在線閱讀: | https://hdl.handle.net/10356/50679 |
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| 機構: | Nanyang Technological University |
| 語言: | English |