OmeGA - A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems (Paperback, Softcover reprint of the original 1st ed. 2002)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Genetic Algorithms and Evolutionary Computation, 6
Release date:	October 2012
First published:	2002
Authors:	Dimitri Knjazew
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	152
Edition:	Softcover reprint of the original 1st ed. 2002
ISBN-13:	978-1-4613-5249-5
Categories:	Books > Computing & IT > General theory of computing > General Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-4613-5249-5
Barcode:	9781461352495

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