| Description |
1 online resource (vi, 88 pages) : illustrations (some color) |
| Series |
SpringerBriefs in Applied Sciences and Technology, Computational intelligence, 2191-530X |
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SpringerBriefs in applied sciences and technology. Computational intelligence, 2191-530X
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| 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 |
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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 |
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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 |
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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 |
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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 |
| 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 |
| Analysis |
engineering |
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computational science |
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optimalisatie |
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optimization |
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kunstmatige intelligentie |
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artificial intelligence |
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Engineering (General) |
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Techniek (algemeen) |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed August 5, 2014) |
| Subject |
Computational intelligence.
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Electronic information resource searching.
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Artificial intelligence.
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Optimization.
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COMPUTERS -- General.
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Computational intelligence
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Electronic information resource searching
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| Form |
Electronic book
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| Author |
Gao, Xiao-Zhi, 1972- author.
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Zenger, Kai, author
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| ISBN |
9783319083568 |
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3319083562 |
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3319083554 |
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9783319083551 |
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