摘要
头脑风暴优化(brain storm optimization,BSO)算法是一种新兴的群体智能优化方法,以众人集思广益解决问题为原型,抽取其中解决问题的模式,将其抽象为智能优化算法.介绍了头脑风暴优化算法的优化算子和基本原理,在对基本头脑风暴优化算法和目标空间中的头脑风暴优化算法比较的基础上,对头脑风暴优化算法的研究现状,包括群体多样性、求解不同类型问题和实际应用的研究现状进行了全面的综述.最后对头脑风暴优化算法有待进一步研究的问题进行了展望.
For swarm intelligence algorithms,each individual in the swarm represented a solution in the search space,and it also could be seen as a data sample from the search space. Brain storm optimization（ BSO） algorithm was a new and promising swarm intelligence algorithm,which simulated the human brainstorming process. Through the convergent operation and divergent operation,individuals in BSO were grouped and diverged in the search space/objective space. In this paper,the development history,and the state-of-the-art of the BSO algorithms were reviewed. Every individual in the BSO algorithm was not only a solution to the problem to be optimized,but also a data point to reveal the landscape of the problem. Based on the survey of brain storm optimization algorithms,more analysls could be conducted to understand the function of BSO algorithm and more variants of BSO algorithms could be proposed to solve different problems.
作者
程适
陈俊风
孙奕菲
史玉回
CHENG Shi;CHEN Junfeng;SUN Yifei;SHI Yuhui(School of Computer Science,Shaanxi Normal University,Xi＇an 710119,China;College of IOT Engineering,Hohai Uni-versity,Changzhou 213022,China;School of Physics ＆ Information Technology,Shaanxi Normal Un ive rs ity,Xi＇an 710119,China;Department of Computer Science and Kngineering,Southern University of Science and Technology,Shenzhen 518055,China)
出处
《郑州大学学报（工学版）》
CAS
北大核心
2018年第3期22-28,共7页
Journal of Zhengzhou University（Engineering Science）
基金
国家自然科学基金资助项目(61403121
61773119
61703256
61771297)
中央高校基本科研业务费专项资金项目(GK201703062)
关键词
头脑风暴优化算法
发展式群体智能
收敛操作
发散操作
brain storm opt imizat ion
developmental swarm intelligence
convergent operation
divergent op-eration
