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The book is concerned with applications of Evolutionary Algorithms (EA) in the domain of management. EA are powerful and broadly applicable search and optimisation techniques based on principles from evolution theory, with Genetic Alogarithms being the most well-known class. The first part of this volume introduces to the field, and contains a discussion of the current state of EA regarding management applications, with many useful references.
The other parts present papers on innovative management applications of EA. They range from examples in industry, financial services, trade, and traffic management to planning in education, demonstrating the versatility and power of EA. The reader will gain an understanding of the field, be able to appreciate the application potential of EA, and discover many stimulations for own work.
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Previews available in: English
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1
Evolutionary Algorithms in Management Applications
Mar 12, 2014, Springer
paperback
3642612180 9783642612183
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2
Evolutionary Algorithms in Management Applications
Nov 13, 2013, Springer
paperback
3642647499 9783642647499
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3
Evolutionary Algorithms in Management Applications
2012, Springer London, Limited
in English
3642612172 9783642612176
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4
Evolutionary algorithms in management applications
1995, Springer
in English
3540603824 9783540603825
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Includes bibliographical references.
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This book is concerned with the application of Evolutionary Algorithms (EA) in the domain of management. EA are powerful and broadly applicable search and optimisation techniques based on principles from evolution theory, with Genetic Algorithms being the most well-known class. The first part of this volume introduces to EA, and contains a discussion of the current state regarding management applications with many useful references. The other parts present papers on innovative management applications of EA. They range from examples in industry, financial services, trade, and traffic management to planning in education, demonstrating the versatility and power of EA. The reader will gain an understanding of the field, be able to appreciate the application potential of EA, and discover many stimulations for own work.
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