Many scientists and engineers now use the paradigms of evolutionary computation (genetic algorithms, evolution strategies, evolutionary programming, genetic programming, classifier systems, and combinations or hybrids) to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The Handbook of Evolutionary Computation addresses the need for a comprehensive source of reference in the maturing field of evolutionary computation. The handbook is available in a looseleaf print format and an online format.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Maße
Höhe: 280 mm
Breite: 210 mm
Gewicht
ISBN-13
978-0-7503-0895-3 (9780750308953)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Herausgeber*in
University of Dortmund, Germany University of Dortmund, Germany
Natural Selection Inc, USA
University of Adelaide, Australia
Foreword by Kenneth de Jong, Hans-Paul Schwefel and Lawrence J. Fogel.
Preface.
A. Introduction.
B. Fundamental Concepts of Evolutionary Computation.
C. Evolutionary Computation Models.
D. Hybrid Approaches.
E. Evolutionary Computation Implementations.
F. Applications of Evolutionary Computation.
G. Evolutionary Computation in Practice: Case Studies.
