The Resource An introduction to harmony search optimization method, by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger

An introduction to harmony search optimization method, by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger

Label
An introduction to harmony search optimization method
Title
An introduction to harmony search optimization method
Statement of responsibility
by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researche
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Wang, Xiaolei
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
Q342
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1972-
http://library.link/vocab/relatedWorkOrContributorName
  • Gao, Xiao-Zhi
  • Zenger, Kai
Series statement
SpringerBriefs in Applied Sciences and Technology, Computational intelligence,
http://library.link/vocab/subjectName
  • Computational intelligence
  • Electronic information resource searching
  • COMPUTERS
  • Computational intelligence
  • Electronic information resource searching
  • Artificial intelligence
  • Optimization
Label
An introduction to harmony search optimization method, by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-08356-8
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 1 Introduction; Abstract; 1.1 ... A Survey of Nature-Inspired Computational Methods; 1.2 ... Chapter Preview; References; 2 The Overview of Harmony Search; Abstract; 2.1 ... The Inspiration of Harmony Search; 2.2 ... The Basic Harmony Search Algorithm; 2.3 ... Survey of the Harmony Search Applications; 2.3.1 Optimization Benchmarks; 2.3.2 Industry; 2.3.3 Power Systems; 2.3.4 Signal and Image Processing; 2.3.5 Others; References; 3 The Harmony Search in Context with Other Nature Inspired Computational Algorithms; Abstract; 3.1 ... Genetic Algorithm; 3.2 ... Clonal Selection Algorithm
  • 3.3 ... Performance Comparisons Among HS, GA, and CSAReferences; 4 The Variations of Harmony Search and Its Current Research Trends; Abstract; 4.1 ... Modification Based on the Original Harmony Search; 4.1.1 Revised Population Update Mechanism; 4.1.2 Modified Pitch Adjustment Strategy; 4.2 ... Hybridization with Other NIC Algorithms; 4.2.1 Cooperator; 4.2.2 Embedded Operator; 4.3 ... A Modified HS Method for Constrained Optimization; 4.3.1 Constrained Optimization Problems; 4.3.2 A Modified HS Method for Constrained Optimization; References
  • 5 The Hybrid Strategies of Harmony Search in Optimization Problem SolvingAbstract; 5.1 ... Niching HS Method for Multimodal Optimization; 5.1.1 Niching Technique; 5.1.2 A Niching HS Method for Multimodal Optimization; 5.1.3 Simulations; 5.2 ... A Hybrid Optimization Method of HS and Opposition-Based Learning; 5.2.1 Opposition-Based Learning; 5.2.2 Fusion of HS and OBL: HS-OBL; 5.2.3 Optimization of Nonlinear Functions and a Tension/Compression Spring Using HS-OBL; 5.2.3.1 Low-dimensional Functions; 5.2.3.2 High-dimensional Functions; 5.2.3.3 Minimization of Weight of a Tension/Compression Spring
  • 5.3 ... Fusion of Clonal Selection Algorithm and HS Method5.3.1 Hybrid HS Optimization Algorithm; 5.3.2 Hybrid HS Method in Optimization of Fuzzy Classification Systems; 5.3.2.1 Fuzzy Classification Systems; 5.3.2.2 Simulations; Fisher Iris Data Classification; Wine Data Classification; 5.4 ... A Hybrid HS Method with Cultural Algorithm; 5.4.1 Cultural Algorithm; 5.4.2 Fusion of HS and CA: HS-CA; 5.4.3 Optimization of Nonlinear Functions and Engineering Design Using HS-CA; 5.4.3.1 Nonlinear Functions; 5.4.3.2 Engineering Optimization Problems
  • 5.4.4 Optimal Design of Permanent Magnet Direct-Driven Wind Generator: A Case Study5.4.4.1 Structure of Wind Generator; 5.4.4.2 Objective Function and Design Parameters; 5.4.5 HS-CA-Based Optimal Wind Generator Design; References; 6 Conclusions; Abstract; 6.1 ... Summary of This Book; 6.2 ... Further Research; Index
Dimensions
unknown
Extent
1 online resource (vi, 88 pages)
File format
unknown
Form of item
online
Isbn
9783319083568
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-08356-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)885264496
  • (OCoLC)ocn885264496
Label
An introduction to harmony search optimization method, by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-08356-8
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 1 Introduction; Abstract; 1.1 ... A Survey of Nature-Inspired Computational Methods; 1.2 ... Chapter Preview; References; 2 The Overview of Harmony Search; Abstract; 2.1 ... The Inspiration of Harmony Search; 2.2 ... The Basic Harmony Search Algorithm; 2.3 ... Survey of the Harmony Search Applications; 2.3.1 Optimization Benchmarks; 2.3.2 Industry; 2.3.3 Power Systems; 2.3.4 Signal and Image Processing; 2.3.5 Others; References; 3 The Harmony Search in Context with Other Nature Inspired Computational Algorithms; Abstract; 3.1 ... Genetic Algorithm; 3.2 ... Clonal Selection Algorithm
  • 3.3 ... Performance Comparisons Among HS, GA, and CSAReferences; 4 The Variations of Harmony Search and Its Current Research Trends; Abstract; 4.1 ... Modification Based on the Original Harmony Search; 4.1.1 Revised Population Update Mechanism; 4.1.2 Modified Pitch Adjustment Strategy; 4.2 ... Hybridization with Other NIC Algorithms; 4.2.1 Cooperator; 4.2.2 Embedded Operator; 4.3 ... A Modified HS Method for Constrained Optimization; 4.3.1 Constrained Optimization Problems; 4.3.2 A Modified HS Method for Constrained Optimization; References
  • 5 The Hybrid Strategies of Harmony Search in Optimization Problem SolvingAbstract; 5.1 ... Niching HS Method for Multimodal Optimization; 5.1.1 Niching Technique; 5.1.2 A Niching HS Method for Multimodal Optimization; 5.1.3 Simulations; 5.2 ... A Hybrid Optimization Method of HS and Opposition-Based Learning; 5.2.1 Opposition-Based Learning; 5.2.2 Fusion of HS and OBL: HS-OBL; 5.2.3 Optimization of Nonlinear Functions and a Tension/Compression Spring Using HS-OBL; 5.2.3.1 Low-dimensional Functions; 5.2.3.2 High-dimensional Functions; 5.2.3.3 Minimization of Weight of a Tension/Compression Spring
  • 5.3 ... Fusion of Clonal Selection Algorithm and HS Method5.3.1 Hybrid HS Optimization Algorithm; 5.3.2 Hybrid HS Method in Optimization of Fuzzy Classification Systems; 5.3.2.1 Fuzzy Classification Systems; 5.3.2.2 Simulations; Fisher Iris Data Classification; Wine Data Classification; 5.4 ... A Hybrid HS Method with Cultural Algorithm; 5.4.1 Cultural Algorithm; 5.4.2 Fusion of HS and CA: HS-CA; 5.4.3 Optimization of Nonlinear Functions and Engineering Design Using HS-CA; 5.4.3.1 Nonlinear Functions; 5.4.3.2 Engineering Optimization Problems
  • 5.4.4 Optimal Design of Permanent Magnet Direct-Driven Wind Generator: A Case Study5.4.4.1 Structure of Wind Generator; 5.4.4.2 Objective Function and Design Parameters; 5.4.5 HS-CA-Based Optimal Wind Generator Design; References; 6 Conclusions; Abstract; 6.1 ... Summary of This Book; 6.2 ... Further Research; Index
Dimensions
unknown
Extent
1 online resource (vi, 88 pages)
File format
unknown
Form of item
online
Isbn
9783319083568
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-08356-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)885264496
  • (OCoLC)ocn885264496

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