Immune particle swarm optimization algorithm based on the adaptive search strategy
The particle swarm algorithm is often trapped in a local optimum due to poor diversity, resulting in a premature stagnation phenomenon. In order to overcome this shortcoming, an immune particle swarm optimization algorithm based on the adaptive search strategy was proposed in this paper. Firstly, th...
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| Main Authors: | ZHANG Chao, LI Qing, WANG Wei-qian, CHEN Peng, FENG Yi-nan |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2017-01-01
|
| Series: | 工程科学学报 |
| Subjects: | |
| Online Access: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.01.016 |
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