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Metaheuristics

Siarry, Patrick.

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Metaheuristics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Metaheuristics/ edited by Patrick Siarry.
其他作者:	Siarry, Patrick.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xvi, 489 p. :ill., digital ;24 cm.
內容註:	Introduction -- Simulated Annealing -- Tabu Search -- Search in Variable Neighborhoods -- The GRASP Search Algorithm -- Evolutionary Algorithms -- Artificial Ants -- Particle Swarms -- Other Metaheuristics -- Other Social Insect Algorithms -- Extending Evolutionary Algorithms for Multiobjective Optimization -- Extending Evolutionary Algorithms for Optimization Under Constraints -- Modeling and Comparison Methods -- Hybrid Metaheuristics for Optimizing Logistics -- Metaheuristics for Vehicle Routing Problems -- Applications in Air Traffic Management.
Contained By:	Springer eBooks
標題:	Combinatorial optimization - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-45403-0
ISBN:	9783319454030

Metaheuristics
Metaheuristics[electronic resource] /edited by Patrick Siarry. - Cham :Springer International Publishing :2016. - xvi, 489 p. :ill., digital ;24 cm.

Introduction -- Simulated Annealing -- Tabu Search -- Search in Variable Neighborhoods -- The GRASP Search Algorithm -- Evolutionary Algorithms -- Artificial Ants -- Particle Swarms -- Other Metaheuristics -- Other Social Insect Algorithms -- Extending Evolutionary Algorithms for Multiobjective Optimization -- Extending Evolutionary Algorithms for Optimization Under Constraints -- Modeling and Comparison Methods -- Hybrid Metaheuristics for Optimizing Logistics -- Metaheuristics for Vehicle Routing Problems -- Applications in Air Traffic Management.

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.

ISBN: 9783319454030

Standard No.: 10.1007/978-3-319-45403-0doiSubjects--Topical Terms:

764686
Combinatorial optimization
--Data processing.

LC Class. No.: QA402.5

Dewey Class. No.: 519.64

Metaheuristics
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505 0 $a Introduction -- Simulated Annealing -- Tabu Search -- Search in Variable Neighborhoods -- The GRASP Search Algorithm -- Evolutionary Algorithms -- Artificial Ants -- Particle Swarms -- Other Metaheuristics -- Other Social Insect Algorithms -- Extending Evolutionary Algorithms for Multiobjective Optimization -- Extending Evolutionary Algorithms for Optimization Under Constraints -- Modeling and Comparison Methods -- Hybrid Metaheuristics for Optimizing Logistics -- Metaheuristics for Vehicle Routing Problems -- Applications in Air Traffic Management.
520 $a 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.
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