Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms

Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms

Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic ...
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Preface

Pp. i-ii (2)

Andre A. Keller

Affiliation:

Center for Research in Computer Science Signal and Automatic Control of Lille University of Lille – CNRS France.