Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

Sumathi, S.; Kumar, L. Ashok; P, Surekha.

Taylor & Francis Ltd

07/2017

Mole

Inglês

9781138855380

15 a 20 dias

Descrição não disponível.
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 (R) 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 (R) 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 (R) 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 (R)/Simulink (R) Models Appendix C: MATLAB (R)/Simulink (R) Functions-An Overview Appendix D: Instances of Job-Shop Scheduling Problems Appendix E: MDVRP Instances Appendix F: Image Watermarking Metrics and Attacks
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