Sampling-based adaptive bounding evolutionary algorithm for continuous optimization problems

• Main Authors: Luo, Linbo, Hou, Xiangting, Zhong, Jinghui, Cai, Wentong, Ma, Jianfeng
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Search Space Narrowing; Adaptive Bounding Evolutionary Algorithm
• Online Access: https://hdl.handle.net/10356/86331; http://hdl.handle.net/10220/43997
• Institution: Nanyang Technological University

This paper proposes a novel sampling-based adaptive bounding evolutionary algorithm termed SABEA that is capable of dynamically updating the search space during the evolution process for continuous optimization problems. The proposed SABEA adopts two bounding strategies, namely fitness-based boundin...