Brain Storm Optimization Algorithms is popular PDF and ePub book, written by Shi Cheng in 2019-06-03, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Brain Storm Optimization Algorithms can be Read Online from any device for your convenience.
Brain Storm Optimization Algorithms Book PDF Summary
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 implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.
Detail Book of Brain Storm Optimization Algorithms PDF
- Author : Shi Cheng
- Release : 03 June 2019
- Publisher : Springer
- ISBN : 9783030150709
- Genre : Technology & Engineering
- Total Page : 299 pages
- Language : English
- PDF File Size : 13,7 Mb
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