Metaheuristics
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Beschreibung
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management.
The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics.
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management.
The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics.
Metaheuristics exhibit desirable properties like simplicity, parallelizability, and applicability Contributing authors are leading researchers in the domain Valuable for industrial practitioners, graduate students, and research academics Includes supplementary material: sn.pub/extras
Autor*in
Patrick Siarry
Themen in »Metaheuristics«
Evolutionary computing Heuristics Metaheuristics Search Swarm intelligence
Stimmen zu »Metaheuristics«
“The book’s chapters are written by prominent researchers in the metaheuristics field. They include adequate references, and many contain annotated bibliographies. … This book will be useful for academicians, problem solvers in industry, practitioners, students, and researchers.” (S. V. Nagaraj, Computing Reviews, January, 2018)
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