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Table of 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
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