Clustering Search and Variable Mesh Algorithms for continuous optimization
作者：
Highlights：
• A hybrid meta-heuristic is proposed based on Clustering Search.
• The Variable Mesh Optimization generates initial solutions.
• Clustering Search algorithm detect promising areas in the solution space.
• Local search improves a solution called the center of each cluster.
• The hybrid proposal shows to be beneficial for continuous optimization problems.
摘要
•A hybrid meta-heuristic is proposed based on Clustering Search.•The Variable Mesh Optimization generates initial solutions.•Clustering Search algorithm detect promising areas in the solution space.•Local search improves a solution called the center of each cluster.•The hybrid proposal shows to be beneficial for continuous optimization problems.
论文关键词：Continuous function optimization,Hybrid methods
论文评审过程：Available online 9 September 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.08.040
