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Scatter Search

Name: Scatter Search
Brand: Springer-Verlag New York Inc.
SKU: 9781402073762
Price: 38334 HUF
Availability: InStock

Methodology and Implementations in C

Szerző: Manuel Laguna, Rafael Martí

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

38 334 Ft

"The evolutionary approach called scatter search originated from strategies for creating composite d...

Információk a könyvről

Szerző

Manuel Laguna, Rafael Martí

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2003

oldal

291

EAN

9781402073762

ISBN

1402073763

Enbook ID

02106664

Kiadó

Springer-Verlag New York Inc.

Súly

660

Méretek

155 x 235 x 17

Teljes leírás

"The evolutionary approach called scatter search originated from strategies for creating composite decision rules and surrogate constraints. Recent studies demonstrate the practical advantages of this approach for solving a diverse array of optimization problems from both classical and real world settings. Scatter search contrasts with other evolutionary procedures, such as genetic algorithms, by providing unifying principles for joining solutions based on generalized path constructions in Euclidean space and by utilizing strategic designs where other approaches resort to randomization. The book's goal is to provide the basic principles and fundamental ideas that will allow the readers to create successful applications of scatter search. The book includes the C source code of the methods introduced in each chapter. From the Foreword: §`Scatter Search represents a 'missing link' in the literature of evolutionary methods... From a historical perspective, the dedicated use of heuristic strategies both to guide the process of combining solutions and to enhance the quality of offspring has been heralded as a key innovation in evolutionary methods, giving rise to what are sometimes called 'hybrid' or ('memetic') evolutionary procedures. The underlying processes have been introduced into the mainstream of evolutionary methods (such as genetic algorithms, for example) by a series of gradual steps beginning in the late 1980s. Yet this theme is an integral part of the scatter search methodology proposed a decade earlier, and the form and scope of such heuristic strategies embedded in scatter search continue to set it apart. Although there are points in common between scatter search and other evolutionary approaches, principally as a result of changes that have brought other approaches closer to scatter search in recent years, there remain differences that have an important impact on practical outcomes. Reflecting this impact, a hallmark of the present book is its focus on practical problem solving. Laguna and Martí give the reader the tools to create scatter search implementations for problems from a wide range of settings. Although theoretical problems (such as abstract problems in graph theory) are included, beyond a doubt the practical realm has a predominant role in this book....' §Fred Glover, University of Colorado "