Recent Metaheuristics Algorithms For Parameter Identification (studies In Computational Intelligence)

This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks. Front Matter ....Pages i-xiv Introduction to Optimization and Metaheuristic Methods (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 1-8 Optimization Techniques in Parameters Setting for Induction Motor (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 9-25 An Enhanced Crow Search Algorithm Applied to Energy Approaches (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 27-49 Comparison of Solar Cells Parameters Estimation Using Several Optimization Algorithms (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 51-95 Gravitational Search Algorithm for Non-linear System Identification Using ANFIS-Hammerstein Approach (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 97-134 Fuzzy Logic Based Optimization Algorithm (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 135-181 Neighborhood Based Optimization Algorithm (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 183-243 Knowledge-Based Optimization Algorithm (Erik Cuevas, Jorge Gálvez, Omar Avalos)....Pages 245-277 Back Matter ....Pages 279-297