| 期刊全称 | Brain Storm Optimization Algorithms | | 期刊简称 | Concepts, Principles | | 影响因子2023 | Shi Cheng,Yuhui Shi | | 视频video | | | 发行地址 | Presents the latest advances in Brain Storm Optimization (BSO) algorithms.Shares new ideas and outlines future directions of development.Presents various concepts, principles and applications of Brain | | 学科分类 | Adaptation, Learning, and Optimization | | 图书封面 |  | | 影响因子 | Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A “good enough” optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence..This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implement | | Pindex | Book 2019 |
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发表于 2025-3-21 20:01:53
