OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems (Genetic Algorithms and Evolutionary Computation)

Knjazew, Dimitri

ISBN 10: 1461352495 ISBN 13: 9781461352495

Editorial: Springer, 2012

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa blanda

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N� de ref. del art�culo ABLIING23Mar2716030031995

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T�tulo

OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems (Genetic Algorithms and Evolutionary Computation)

Editor

Springer

Fecha de publicaci�n

2012

Idioma

Ingl�s

ISBN 10

1461352495

ISBN 13

9781461352495

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed for principled solutions of hard problems, quickly, reliably, and accurately. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries.

This book approaches both subjects systematically and clearly. The first part of the book presents the clearest description of messy GAs written to date along with an innovative adaptation of the method to ordering problems. The second part of the book investigates the algorithm on boundedly difficult test functions, showing principled scale up as problems become harder and longer. Finally, the book applies the algorithm to a test function drawn from the literature of scheduling.

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