Evolutionary Algorithms in Management Applications

Biethahn, J & Nissen, V

ISBN 10: 3540603824 / ISBN 13: 9783540603825

Published by Springer-Verlag Berlin And Heidelberg Gmbh & Co. K, 1995

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9783540603825. Seller Inventory # 8619607

Bibliographic Details

Title: Evolutionary Algorithms in Management ...

Publisher: Springer-Verlag Berlin And Heidelberg Gmbh & Co. K

Publication Date: 1995

Binding: Hardcover

Condition: Fair

About this title

Synopsis:

Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/mutation, and the selection of individuals based on fitness. The most well-known class of EA are Genetic Algorithms (GA), which have received much attention not only in the scientific community lately. Other variants of EA, in particular Genetic Programming, Evolution Strategies, and Evolutionary Programming are less popular, though very powerful too. Traditionally, most practical applications of EA have appeared in the technical sector. Management problems, for a long time, have been a rather neglected field of EA-research. This is surprising, since the great potential of evolutionary approaches for the business and economics domain was recognised in pioneering publications quite a while ago. John Holland, for instance, in his seminal book Adaptation in Natural and Artificial Systems (The University of Michigan Press, 1975) identified economics as one of the prime targets for a theory of adaptation, as formalised in his reproductive plans (later called Genetic Algorithms).

Synopsis:

This text is concerned with the application of Evolutionary Algorithms (EA) in the domain of management. EA are powerful and broadly applicable search and optimization techniques based on principles from evolution theory, with Genetic Algorithms being the best-known class. The first part of the volume introduces the reader to EA and contains a discussion of the current state regarding management applications with many references. The other parts of the book present papers on innovative management applications of EA; these range from examples in industry, financial services, trade, and traffic management to planning in education, and demonstrating the versatility and power of EA.