Evolutionary Algorithms in Engineering Applications

Zbigniew Michalewicz

ISBN 10: 3642082823 / ISBN 13: 9783642082825

Edité par Springer Berlin Heidelberg, 2010

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains. N° de réf. du vendeur 9783642082825

Détails bibliographiques

Titre : Evolutionary Algorithms in Engineering ...

Éditeur : Springer Berlin Heidelberg

Date d'édition : 2010

Reliure : Taschenbuch

Etat : Neu

A propos de ce titre

Présentation de l'éditeur:

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.