大葉大學圖書館 |

Metaheuristics[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.64
書名/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.
Contained By:	Springer eBooks
標題:	Combinatorial optimization - Data processing.
標題:	Problem solving - Data processing.
標題:	Computer algorithms.
標題:	Computer Science.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Computational Intelligence.
標題:	Operation Research/Decision Theory.
標題:	Optimization.
ISBN:	9783319454030
ISBN:	9783319454016
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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-45403-0

Metaheuristics[electronic resource] /
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:

688122
Combinatorial optimization
--Data processing.

LC Class. No.: QA402.5

Dewey Class. No.: 519.64

Metaheuristics[electronic resource] /
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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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