Global Optimization Inspired by Quantum Physics

摘要：

　　Scientists have found that atoms and molecules in nature have an amazing power at finding their global minimal energy states even when their energy landscapes are full of local minima.Recently, the author postulated an optimization algorithm for understanding this fundamental feature of nature.This paper presents a version of this al gorithm for attacking continuous optimization problems.On large size benchmark functions, it significantly outperformed the standard particle swarm optimization algorithm.

作者: Xiaofei Huang

作者单位: eGain Communications, Mountain View, CA 94043, U.S.A

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 346-352

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）