Brain Storm Optimization Algorithms: Concepts, Principles and Applications

✍ Scribed by Shi Cheng, Yuhui Shi

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 305
• Series: Adaptation, Learning, and Optimization 23
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xv
Front Matter ....Pages 1-1
Brain Storm Optimization Algorithms: More Questions than Answers (Shi Cheng, Hui Lu, Xiujuan Lei, Yuhui Shi)....Pages 3-32
Front Matter ....Pages 33-33
Brain Storm Optimization for Test Task Scheduling Problem (Hui Lu, Rongrong Zhou, Shi Cheng, Yuhui Shi)....Pages 35-59
Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks (Guojiang Xiong, Jing Zhang, Dongyuan Shi, Yu He)....Pages 61-77
Multi-objective Differential-Based Brain Storm Optimization for Environmental Economic Dispatch Problem (Yali Wu, Xinrui Wang, Yingruo Xu, Yulong Fu)....Pages 79-104
Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation (Seham Elsayed, Mohammed El-Abd, Karam Sallam)....Pages 105-122
Brain Storm Algorithm Combined with Covariance Matrix Adaptation Evolution Strategy for Optimization (Yang Yu, Lin Yang, Yirui Wang, Shangce Gao)....Pages 123-154
Front Matter ....Pages 155-155
A Feature Extraction Method Based on BSO Algorithm for Flight Data (Hui Lu, Chongchong Guan, Shi Cheng, Yuhui Shi)....Pages 157-188
Brain Storm Optimization Algorithms for Solving Equations Systems (Liviu Mafteiu-Scai, Emanuela Mafteiu, Roxana Mafteiu-Scai)....Pages 189-220
StormOptimus: A Single Objective Constrained Optimizer Based on Brainstorming Process for VLSI Circuits (Satyabrata Dash, Deepak Joshi, Sukanta Dey, Meenali Janveja, Gaurav Trivedi)....Pages 221-243
Brain Storm Optimization Algorithms for Flexible Job Shop Scheduling Problem (Xiuli Wu)....Pages 245-271
Enhancement of Voltage Stability Using FACTS Devices in Electrical Transmission System with Optimal Rescheduling of Generators by Brain Storm Optimization Algorithm (G. V. Nagesh Kumar, B. Sravana Kumar, B. Venkateswara Rao, D. Deepak Chowdary)....Pages 273-297
Back Matter ....Pages 299-299

✦ Subjects

Engineering; Computational Intelligence