Computational intelligence paradigms for optimization problems using MATLAB/SIMULINK. (2016)

• Record Type: Book
• Further Information: Note: S. Sumathi, L. Ashok Kumar and P. Surekha.
• Authors: Sumathi, S, 1968-; Kumar, L. Ashok; Surekha, P, 1980-
• Contents: Introduction; Learning Objectives; Computational Intelligence Paradigms; Classification of Computational Intelligence Algorithms; Role of CI Paradigms in Engineering Applications; Applications of CI Focused in This Book; Summary; References Unit Commitment and Economic Load Dispatch Problem; Learning Objectives; Introduction; Economic Operation of Power Generation; Mathematical Model of the UC-ELD Problem; Intelligent Algorithms for Solving UC-ELD; MATLAB® m-File Snippets for UC-ELD Based on CI Paradigms; Discussion; Advantages of CI Algorithms; Summary; References Harmonic Reduction in Power Systems; Learning Objectives; Harmonic Reduction in Power System; Harmonic Effects; Harmonics Limits and Standards; Method to Eliminate Harmonics; Voltage Source Inverter-Fed Induction Motor Drives; Case Study: Pulp and Paper Industry; Genetic Algorithm-Based Filter Design in 2-, 6-, and 12-Pulse Rectifier; Bacterial Foraging Algorithm for Harmonic Elimination; Summary; References Voltage and Frequency Control in Power Systems; Learning Objectives; Introduction; Scope of Intelligent Algorithms in Voltage and Frequency Control; Dynamics of Power Generating System; Fuzzy Logic Controller for LFC and AVR; Genetic Algorithm for LFC and AVR; PSO and ACO for LFC and AVR; Hybrid Evolutionary Algorithms for LFC and AVR; Summary; References Job Shop Scheduling Problem; Learning Objectives; Introduction; Formulation of JSSP; Computational Intelligence Paradigms for JSSP; m-File Snippets and Outcome of JSSP Based on CI Paradigms; Discussion; Advantages of CI Paradigms; Summary; References Multidepot Vehicle Routing Problem; Learning Objectives; Introduction; Fundamental Concepts of MDVRP; Computational Intelligence Algorithms for MDVRP; MATLAB® m-File Snippets for MDVRP Based on CI Paradigms; Discussions; Advantages of CI Paradigms; Summary; References Digital Image Watermarking; Learning Objectives; Introduction; Basic Concepts of Image Watermarking; Preprocessing Schemes; Discrete Wavelet Transform for DIWM; Performance Metrics; Application of CI Techniques for DIWM; MATLAB® m-File Snippets for DIWM Using CI Paradigms; Optimization in Watermarking; Discussion; Advantages of CI Paradigms; Summary; References Appendix A: Unit Commitment and Economic Load Dispatch Test Systems Appendix B: Harmonic Reduction—MATLAB® /Simulink® Models Appendix C: MATLAB® /Simulink® Functions—An Overview Appendix D: Instances of Job-Shop Scheduling Problems Appendix E: MDVRP Instances Appendix F: Image Watermarking Metrics and Attacks
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2016
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 006.3; Computational intelligence
• Languages: English
• ISBNs: 9781498743716
• Related ISBNs: 9781498743709
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
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