Brain Storm Optimization Algorithms Concepts, Principles and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Cheng, Shi (Editor, http://id.loc.gov/vocabulary/relators/edt), Shi, Yuhui (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Adaptation, Learning, and Optimization, 23
• Subjects: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.

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 opt...

Table of Contents:

• Brain Storm Optimization Algorithms: More Questions than Answers
• Brain Storm Optimization for Test Task Scheduling Problem
• Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks
• Multi-objective Brain Storm Optimization Based on Differential Evolution for Environmental/Economic Dispatch Problem
• Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation
• Brain Storm Algorithm Combined with Covariance Matrix Adaptation Evolution Strategy for Optimization
• A Feature Extraction Method Based on BSO Algorithm for Flight Data
• Brain Storm Optimization Algorithms for Solving Equations Systems
• StormOptimus: A Single Objective Constrained Optimizer Based on Brainstorming Process for VLSI Circuits
• Brain Storm Optimization Algorithms for Flexible Job Shop Scheduling Problem
• Enhancement of Voltage Stability using FACTS Devices in Electrical Transmission System with Optimal Rescheduling of Generators by Brain Storm Optimization Algorithm.