Evolutionary algorithms in management applications

Biethahn, Jörg [Hrsg.]

ISBN 10: 3540603824 / ISBN 13: 9783540603825

Edité par Springer, Berlin [u.a.], 1995

24cm XV, 378 S. Hardcover. Zustand: Gut bis Sehr Gut gering gebräunt (Innen); Besitzerstempel (Innen); Einband Außen hat min. bis geringe Gebrauchsspuren; Archivex. mit Klebestreifenrest (Außen); Besitzerstempel auf Schnitt; * Die Photos sind original von uns erstellt worden, u.a. erkennbar an einem kleinen weißen Stück Papier im oberen Schnitt. Ab und an verwenden Suchmaschinen Verlagsphotos, bei den Portalen selbst, werden aber nur unsere Originalphotos gezeigt. N° de réf. du vendeur 852821

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).

Présentation de l'éditeur: 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.

Détails bibliographiques

Titre : Evolutionary algorithms in management ...
Éditeur : Springer, Berlin [u.a.]
Date d'édition : 1995
Reliure : Hardcover
Etat : Gut