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: | , , , |
---|---|
其他作者: | |
格式: | Journal Article |
語言: | English |
出版: |
2020
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/142645 |