Evolutionary Search and the Job Shop
Investigations on Genetic Algorithms for Production Scheduling
Published on 18. March 1996
Book
Paperback/Softback
IX, 153 pages
978-3-7908-0917-6 (ISBN)
Description
Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in the algorithm comes along with a quite inefficient search. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques.
More details
Series
Language
English
Place of publication
Heidelberg
Germany
Target group
Professional and scholarly
Research
Illustrations
67 s/w Abbildungen
IX, 153 p. 67 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
260 gr
ISBN-13
978-3-7908-0917-6 (9783790809176)
DOI
10.1007/978-3-662-11712-5
Schweitzer Classification
Content
Contents: Introduction: Production Planning.- Production Scheduling.- Heuristic Search.- Overview of the Thesis.- Job Shop Scheduling: Representation of the JSP.- Schedule Generation Techniques.- Enumeration Methods.- Local Search Techniques: Neighborhood Definitions.- Local Hill Climbing.- Local Search Extensions.- Evolutionary Algorithms: The Evolutionary Metaphor.- Adaption in Epistatic Domains.- Genetic Hybrids.- Perspectives on Adaptive Scheduling: Configuring the Solution Space.- Properties of the Search Space.- Summary of Perspectives.- Population Flow in Adaptive Scheduling: Genetic Algorithm Template.- Inheritance Management.- Population Management.- Applying Adaptive Scheduling.