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Brain Storm Optimization Algorithms

Overview of attention for book
Cover of 'Brain Storm Optimization Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Brain Storm Optimization Algorithms: More Questions than Answers
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    Chapter 2 Brain Storm Optimization for Test Task Scheduling Problem
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    Chapter 3 Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks
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    Chapter 4 Multi-objective Differential-Based Brain Storm Optimization for Environmental Economic Dispatch Problem
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    Chapter 5 Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation
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    Chapter 6 Brain Storm Algorithm Combined with Covariance Matrix Adaptation Evolution Strategy for Optimization
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    Chapter 7 A Feature Extraction Method Based on BSO Algorithm for Flight Data
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    Chapter 8 Brain Storm Optimization Algorithms for Solving Equations Systems
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    Chapter 9 StormOptimus: A Single Objective Constrained Optimizer Based on Brainstorming Process for VLSI Circuits
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    Chapter 10 Brain Storm Optimization Algorithms for Flexible Job Shop Scheduling Problem
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    Chapter 11 Enhancement of Voltage Stability Using FACTS Devices in Electrical Transmission System with Optimal Rescheduling of Generators by Brain Storm Optimization Algorithm
Attention for Chapter 7: A Feature Extraction Method Based on BSO Algorithm for Flight Data
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Chapter title
A Feature Extraction Method Based on BSO Algorithm for Flight Data
Chapter number 7
Book title
Brain Storm Optimization Algorithms
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-15070-9_7
Book ISBNs
978-3-03-015069-3, 978-3-03-015070-9
Authors

Hui Lu, Chongchong Guan, Shi Cheng, Yuhui Shi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Lecturer 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Social Sciences 1 33%

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