An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization
Contemporary real-world optimization benchmarks are subject to many constraints and are often high-dimensional problems. Typically, such problems are expensive in terms of computational time and cost. Conventional constraint-based solvers that are used to tackle such problems require a considerable...
| Main Authors: | , , , |
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| 其他作者: | |
| 格式: | Journal Article |
| 語言: | English |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/142645 |