Overview
- Editors:
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Jörg Biethahn
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Institut für Wirtschaftsinformatik Abteilung Wirtschaftsinformatik I, Georg-August-Universität, Gottingen, Germany
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Volker Nissen
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Institut für Wirtschaftsinformatik Abteilung Wirtschaftsinformatik I, Georg-August-Universität, Gottingen, Germany
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Table of contents (21 chapters)
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Foundations
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- Volker Nissen, Jörg Biethahn
Pages 3-43
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Applications in Industry
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- Ivo Rixen, Christian Bierwirth, Herbert Kopfer
Pages 112-123
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- Royce Bowden, Stanley F. Bullington
Pages 124-138
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- Markus Ettl, Markus Schwehm
Pages 139-152
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- Matthias Krause, Volker Nissen
Pages 153-166
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- Víctor Parada Daza, Ricardo Muñoz, Arlindo Gómes de Alvarenga
Pages 183-196
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Applications in Trade
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Front Matter
Pages 197-197
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- Takao Terano, Yoko Ishino, Kazuyuki Yoshinaga
Pages 211-224
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- Robert E. Marks, David F. Midgley, Lee G. Cooper
Pages 225-239
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- Volker Nissen, Jörg Biethahn
Pages 240-249
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Applications in Financial Services
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Front Matter
Pages 251-251
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- Neil S. Ireson, Terence C. Fogarty
Pages 264-276
About this book
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).
