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Book Cover
E-book

Title Parallel metaheuristics : a new class of algorithms / edited by Enrique Alba
Published Hoboken, NJ : John Wiley, 2005
Online access available from:
Wiley Online Books    View Resource Record  

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Description 1 online resource (xvii, 554 pages) : illustrations
Series Wiley series on parallel and distributed computing
Wiley series on parallel and distributed computing.
Contents PARALLEL METAHEURISTICS A New Class of Algorithms; Contents; Foreword; Preface; Contributors; 1 An Introduction to Metaheuristic Techniques; 2 Measuring the Performance of Parallel Metaheuristics; 3 New Technologies in Parallelism; 4 Metaheuristics and Parallelism; 5 Parallel Genetic Algorithms; 6 Parallel Genetic Programming; 7 Parallel Evolution Strategies; 8 Parallel Ant Colony Algorithms; 9 Parallel Estimation of Distribution Algorithms; 10 Parallel Scatter Search; 11 Parallel Variable Neighborhood Search; 12 Parallel Simulated Annealing; 13 Parallel Tabu Search
Summary With the proliferation of parallel computers and faster community networks, parallel metaheuristics are an effective alternative to speed up the search for approximate solutions of optimizations problems and allow solving larger problems while leading to more efficient algorithms
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Mathematical optimization.
Operations research.
Parallel algorithms.
Form Electronic book
Author Alba, Enrique.
Wiley InterScience (Online service)
ISBN 0471678066
0471739375 (electronic bk.)
0471739383
9780471678069
9780471739371 (electronic bk.)
9780471739388