Brain Storm Optimization Algorithms

Concepts, Principles and Applications

AvShi Cheng,Yuhui Shi

Häftad, Engelska, 2020

Del 23 i serien Adaptation, Learning, and Optimization

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-08-14
Mått:155 x 235 x 18 mm
Vikt:482 g
Format:Häftad
Språk:Engelska
Serie:Adaptation, Learning, and Optimization
Antal sidor:299
Förlag:Springer Nature Switzerland AG
ISBN:9783030150723

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

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 Generatorsby Brain Storm Optimization Algorithm.