Sampling-based adaptive bounding evolutionary algorithm for continuous optimization problems

• المؤلفون الرئيسيون: Luo, Linbo, Hou, Xiangting, Zhong, Jinghui, Cai, Wentong, Ma, Jianfeng
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2017
• الموضوعات: Search Space Narrowing; Adaptive Bounding Evolutionary Algorithm
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/86331; http://hdl.handle.net/10220/43997

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...