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Gen, Mitsuo / Cheng, Runwei
Genetic Algorithms and Engineering Optimization
Wiley Series in Engineering Design and Automation

1. Edition - January 2000
149.- Euro
2000. XVI, 496 Pages, Hardcover
ISBN-10: 0-471-31531-1
ISBN-13: 978-0-471-31531-5 - John Wiley & Sons


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Short description
Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it. Written by two internationally-known experts on genetic algorithms and artificial intelligence, this important book addresses one of the most important optimization techniques in the industrial engineering/manufacturing area, the use of genetic algorithms to better design and produce reliable products of high quality. The book covers advanced optimization techniques as applied to manufacturing and industrial engineering processes, focusing on combinatorial and multiple-objective optimization problems that are most encountered in industry.

From the contents
Foundations of Genetic Algorithms.

Combinatorial Optimization Problems.

Multiobjective Optimization Problems.

Fuzzy Optimization Problems.

Reliability Design Problems.

Scheduling Problems.

Advanced Transportation Problems.

Network Design and Routing.

Manufacturing Cell Design.

References.

Index.


 
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