.png){kind=icon}
返回
Adaptive multi-context cooperatively coevolving in differential evolution
.png){kind=icon}
PRE
AI
DOI：10.1007/s10489-017-1113-y.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents an adaptive multi-context cooperatively coevolving differential evolution (AMCC-DE) algorithm, in order to address the issue of scaling up differential evolution algorithms on large-scale global optimization (LSGO) problems. The proposed AMCC-DE builds on the success of an early AMCCPSO in which the adaptive multi-context cooperatively coevolving (AMCC) framework is employed. In the proposed AMCC-DE, several superior individuals are employed as the multiple context vectors (CV) to provide robust and effective coevolution, and these CVs are selected by each individual based on their adaptive probabilities. To keep the diversity of these CVs, the mutation operation of CV is defined and conducted in each generation. Moreover, a new mutation operator is also proposed and employed in the AMCC-DE to generate promising individuals. On a comprehensive set of 1000-dimensional LSGO benchmarks, the performance of AMCC-DE compared favorably against some state-of-the-art evolutionary algorithms. Experimental results indicate that the proposed AMCC-DE is effective on LSGO problems, and the proposed mechanisms in AMCC-DE can also be generally extended to other EAs.
Keyword:
Adaptive multi-context
Cooperative coevolution
Large-scale global optimization
Differential evolution
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.6K
被引数:
1.7W
机构
引用论文
A New Decentralized PQ Control for Parallel Inverters in Grid-Tied Microgrids Propelled by SMC-Based Buck–Boost Converters.png)
Electronics
OAAI
ElectronicsIF0
OAAI分享收藏Transcranial direct current stimulation on prefrontal and parietal areas enhances motor imageryNeuroReport
NeuroReportIF0
PREAI
分享收藏Modification of particle swarm optimization with human simulated property具有仿人特性的粒子群优化算法的改进NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏
查看更多内容