Description: Brain Storm Optimization Algorithms Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Concepts, Principles and Applications Author(s): Shi Cheng, Yuhui Shi Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030150693, 978-3030150693 Synopsis Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, [url] 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.
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Book Title: Brain Storm Optimization Algorithms
Number of Pages: 299 Pages
Language: English
Publication Name: Brain Storm Optimization Algorithms: Concepts, Principles and Applications
Publisher: Springer Nature Switzerland A&G
Publication Year: 2019
Subject: Computer Science
Item Height: 235 mm
Item Weight: 641 g
Type: Textbook
Author: Yuhui Shi, Shi Cheng
Series: Adaptation, Learning, and Optimization
Item Width: 155 mm
Format: Hardcover