Author:
Edition: 1
Binding: Hardcover
ISBN: 1584885505
Publisher: Chapman and Hall/CRC
Edition: 1
Binding: Hardcover
ISBN: 1584885505
Publisher: Chapman and Hall/CRC
Handbook of approximation algorithms and metaheuristics
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. Handbook of Approximation Algorithms and Metaheuristics
"Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics. Starting with basic approaches, the handbook presents the methodologies to design and analyze efficient approximation algorithms for a large class of problems, and to establish inapproximability results for another class of problems. It also discusses local search, neural networks, and metaheuristics, as well as multiobjective problems, sensitivity analysis, and stability. After laying this foundation, the book applies the methodologies to classical problems in combinatorial optimization, computational geometry, and graph problems. In addition, it explores large-scale and emerging applications in networks, bioinformatics, VLSI, game theory, and data analysis. Undoubtedly sparking further developments in the field, this handbook provides the essential techniques to apply approximation algorithms and metaheuristics to a wide range of problems in computer science, operations research, computer engineering, and economics. Armed with this information, researchers can design and analyze efficient algorithms to generate near-optimal solutions for a wide range of computational intractable problems.File Size: 26229 KBPrint Length: 1432 pagesPublisher: Chapman & Hall/CRC; 1 edition (May 14, 2012) Sold by: Amazon Digital Services, Inc.Language: EnglishASIN: B00866GRQG"
It is the first book to comprehensively study both approximation algorithms and metaheuristics.
Starting with basic approaches, the handbook presents the methodologies to design and analyze efficient approximation algorithms for a large class of problems, and to establish inapproximability results for another class of problems. It also discusses local search, neural networks, and metaheuristics, as well as multiobjective problems, sensitivity analysis, and stability. After laying this foundation, the book applies the methodologies to classical problems Download free Handbook of Approximation Algorithms and Metaheuristics (Chapman & Hall/CRC Computer & Information Science Series) from rapidshare, mediafire, 4shared
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After laying this foundation, the book applies the methodologies to classical problems
