Adaptation and hybridization in computational intelligence /
This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation t...
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| 企业作者: | |
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| 其他作者: | , |
| 格式: | 电子书 |
| 语言: | English |
| 出版: |
Cham
Springer International Publishing Imprint: Springer
2015.
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| 丛编: | Adaptation, Learning, and Optimization,
18 |
| 主题: | |
| 在线阅读: | Click here to view the full text content |
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书本目录:
- Adaptation and Hybridization in Nature-Inspired Algorithms
- Adaptation in the Differential Evolution
- On the Mutation Operators in Evolution Strategies
- Adaptation in Cooperative Coevolutionary Optimization
- Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm
- Solutions of Non-Smooth Economic Dispatch Problems by Swarm Intelligence
- Hybrid Artifcial Neural Network for Fire Analysis of Steel Frames
- A Differential Evolution Algorithm with A Variable Neighborhood Search for Constrained Function Optimization
- A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands.