Boosting Evolutionary Algorithm through Fitness Inheritance
博士 === 國立中正大學 === 資訊工程研究所 === 105 === Fitness approximation methods have been widely used to solve complex benchmark problems and real-world applications. Current approaches of fitness approximation can be categorized into two types: fitness inheritance and surrogates. Surrogate model adopts a compu...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/55bvpy |