Metaheuristic Optimization via Memory and Evolution

Name: Metaheuristic Optimization via Memory and Evolution
Brand: Springer-Verlag New York Inc.
SKU: 9781441954831
Price: 680.42 PLN
Availability: InStock

Tabu Search and Scatter Search

Autor: Cesar Rego, Bahram Alidaee

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy w małych ilościach

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Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a w...

Informacje o książce

Autor

Cesar Rego, Bahram Alidaee

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2010

strony

466

EAN

9781441954831

ISBN

144195483X

Enbook ID

01423753

Wydawca

Springer-Verlag New York Inc.

Waga

730

Wymiary

155 x 25 x 25

Pełny opis

Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search is to report original research on algorithms and applications of tabu search, scatter search or both, as well as variations and extensions having "adaptive memory programming" as a primary focus. Individual chapters identify useful new implementations or new ways to integrate and apply the principles of TS and SS, or that prove new theoretical results, or describe the successful application of these methods to real world problems.Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of METAHEURISTIC OPTIMIZATION VIA MEMORY AND EVOLUTION: Tabu Search and Scatter Search is to report original research on algorithms and applications of tabu search, scatter search or both, as well as variations and extensions having "adaptive memory programming" as a primary focus. Individual chapters identify useful new implementations or new ways to integrate and apply the principles of TS and SS, or that prove new theoretical results, or describe the successful application of these methods to real world problems.§From the preface: Where Are We Headed?§The chapters of this book provide a series of landmarks along the way as we investigate and seek to better understand the elements of tabu search and scatter search that account for their successes in an astonishingly varied range of applications. The contributions of the chapters are diverse in scope, and are not uniform in the degree that they plumb or take advantage of fundamental principles underlying TS and SS. Collectively, however, they offer a useful glimpse of issues that deserve to be set in sharper perspective, and that move us farther along the way toward dealing with problems whose size and complexity pose key challenges to the optimization methods of tomorrow...§Fred Glover§University of Colorado

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Metaheuristic Optimization via Memory and Evolution

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