A Metaheuristic Approach
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Köp båda 2 för 1215 krThis volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contribut...
This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in m...
Maude Blondin is an assistant professor at the Universit de Sherbrooke in Canada. She graduated with a Ph.D. in Electrical Engineering from the Universit du Qubec Trois-Rivires, where she obtained the prestigious Vanier Canada Graduate Scholarship. Her doctoral research was on computational intelligence methods and soft computing techniques applied to control engineering. Afterward, Dr. Blondin did postdoctoral research in the mechanical and aerospace engineering department at the University of Florida. She expanded her research interests to multiobjective optimization applied to multiagent control strategies. Her current research is driven by developing distributed multiobjective optimization algorithms based on exploring the Pareto Front and soft computing methods for multiagent systems. These algorithms are used in many applications ranging from managing energy to military uses to swarm robotics.
1 Optimization algorithms in control systems.- 2 Controller tuning by metaheuristics optimization.- 3 Case studies.- 4 Future direction and research trends.