工程科学学报2017，Vol.39Issue(3)：462-473,12.DOI:10.13374/j.issn2095-9389.2017.03.020
基于逐层演化的群体智能算法优化
Optimization for swarm intelligence based on layer-by-layer evolution
张水平 1王碧 1陈阳1
作者信息
- 1. 江西理工大学信息工程学院,赣州341000
- 折叠
摘要
Abstract
A layer-by-layer evolution strategy was proposed to deal with the premature convergence of swarm intelligence as a col-laborator with other existing researches based on pre-experiments and simple proofs. For promoting the precision of solution and eviting the premature convergence, the self-adaption system was constructed on the basis of the primal algorithm, operations such as compres-sion, selection and re-initialization using the technology of layer-by-layer, and the social information was used including the com-pressed research space and the optimal solution. The improvements of precision of solution and the vitality of terminal individuals can be found in results of simulation experiments with benchmark functions.关键词
群体智能/搜索空间/逐层演化/早熟Key words
swarm intelligence/search space/layer-by-layer/premature convergence分类
信息技术与安全科学引用本文复制引用
张水平,王碧,陈阳..基于逐层演化的群体智能算法优化[J].工程科学学报,2017,39(3):462-473,12.
