.png){kind=icon}
返回
A multimodal evolutionary algorithm with multi-niche cooperation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2023.119668.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multimodal optimization problems, which involve multiple global optima, are common in real-world applica-tions. So far, plenty of multimodal evolutionary algorithms (MMEAs) have been proposed, where niching techniques are widely utilized to locate different optima by trying to cover each modality with an exclusive niche. However, most existing MMEAs deal with niches independently without considering their similarity and redundancy, which greatly limits the performance of the algorithms. Directing against this issue, this study proposes a multi-niche cooperation based MMEA, where a knowledge transfer strategy (KTS) and a collaborative search mechanism (CSM) are designed. Specifically, given the high similarity shared by different modalities, KTS cooperatively evolves the corresponding niches by transferring knowledge among them, thereby accelerating their convergence. For niches possibly covering the same modality, CSM explicitly measures the search intensity on the modality and adaptively deactivates redundant niches, so that excessive searches on the modality can be avoided. This study incorporates the above two strategies into a classic MMEA named NEA2, and thus leads to a multi-niche cooperation based NEA (MNC-NEA). Experiments conducted on 20 benchmark functions demon-strate that KTS and CSM are efficient and complementary, and they together endow MNC-NEA with a significant competitive advantage over 11 state-of-the-art MMEAs.
Keyword:
Multimodal optimization problem
Multimodal evolutionary algorithm
Niching technique
Niche cooperation
Knowledge transfer
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
分享收藏Pilot Study of Immunoblots with Recombinant Borrelia burgdorferi Antigens for Laboratory Diagnosis of Lyme Disease.png)
Healthcare
OAAI
HealthcareIF0
OAAI分享收藏Studies on qualitative and quantitative characters of mutagenised chili populations induced through MMS and EMSVegetos
VegetosIF0
PREAI
分享收藏Local Binary Pattern-Based Adaptive Differential Evolution for Multimodal Optimization Problems基于局部二进制模式的自适应差分进化算法求解多峰优化问题OAAI
OAAI分享收藏Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications寻求多种解决方案: 关于小众方法及其应用的最新调查OAAI
OAAI分享收藏
Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems多模态优化问题的自动Niching差分进化与轮廓预测方法OAAI
OAAI分享收藏
查看更多内容