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Mathematical programming solver based on local search /

This book covers local search for combinatorial optimization and its extension to mixed-variable optimization. Although not yet understood from the theoretical point of view, local search is the paradigm of choice for tackling large-scale real-life optimization problems. Today's end-users deman...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Gardi, Frédéric
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Hoboken : ISTE Ltd. ; Wiley, ©2014.
Colección:Focus series in computer engineering.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Mathematical programming solver based on local search /  |c Frédéric Gardi [and others]. 
260 |a London :  |b ISTE Ltd. ;  |a Hoboken :  |b Wiley,  |c ©2014. 
300 |a 1 online resource 
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490 1 |a Focus Computer Engineering Series,  |x 2051-249X 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
520 |a This book covers local search for combinatorial optimization and its extension to mixed-variable optimization. Although not yet understood from the theoretical point of view, local search is the paradigm of choice for tackling large-scale real-life optimization problems. Today's end-users demand interactivity with decision support systems. For optimization software, this means obtaining good-quality solutions quickly. Fast iterative improvement methods, like local search, are suited to satisfying such needs. Here the authors show local search in a new light, in particular presenting a new kin. 
505 0 |a Cover; Title Page; Copyright; Contents; Acknowledgments; Preface; Introduction; Chapter 1. Local Search: Methodology and Industrial Applications; 1.1. Our methodology: back to basics; 1.1.1. What are the needs in business and industry?; 1.1.2. The main ingredients of the recipe; 1.1.3. Enriching and enlarging neighborhoods; 1.1.4. High-performance software engineering; 1.2. Car sequencing for painting and assembly lines; 1.2.1. Search strategy and moves; 1.2.2. Enriching the moves and boosting their evaluation; 1.2.3. Experimental results and discussion. 
505 8 |a 1.3. Vehicle routing with inventory management1.3.1. State-of-the-art; 1.3.2. Search strategy and moves; 1.3.3. Incremental evaluation machinery; Chapter 2. Local Search for 0-1 Nonlinear Programming; 2.1. The LocalSolver project; 2.2. State-of-the-art; 2.3. Enriching modeling standards; 2.3.1. LocalSolver modeling formalism; 2.3.2. LocalSolver programming language; 2.4. The core algorithmic ideas; 2.4.1. Effective local search moves; 2.4.2. Incremental evaluation machinery; 2.5. Benchmarks; 2.5.1. Car sequencing; 2.5.2. Machine scheduling; 2.5.3. Quadratic assignment problem. 
505 8 |a 2.5.4. MIPLIB 2010Chapter 3. Toward an Optimization Solver Based on Neighborhood Search; 3.1. Using neighborhood search as global search strategy; 3.2. Extension to continuous and mixed optimization; 3.3. Separating the computation of solutions and bounds; 3.4. A new-generation, hybrid mathematical programming solver; Bibliography; Lists of Figures and Tables; Index. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Mathematical optimization. 
650 6 |a Optimisation mathématique. 
650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Mathematical optimization  |2 fast 
700 1 |a Gardi, Frédéric. 
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