Evolutionary Optimization in Dynamic Environments

Jürgen Branke

ISBN 10: 0792376315 / ISBN 13: 9780792376316

Verlag: Springer US, 2001

Evolutionary Optimization in Dynamic Environments | Jürgen Branke | Buch | xiv | Englisch | 2001 | Springer US | EAN 9780792376316 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 102651929

Inhaltsangabe:

Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems. Yet, since they are based on the principles of natural evolution, and since natural evolution is a dynamic process in a changing environment, EAs are also well suited to dynamic optimization problems. Evolutionary Optimization in Dynamic Environments is the first comprehensive work on the application of EAs to dynamic optimization problems. It provides an extensive survey on research in the area and shows how EAs can be successfully used to

• continuously and efficiently adapt a solution to a changing environment,
• find a good trade-off between solution quality and adaptation cost,
• find robust solutions whose quality is insensitive to changes in the environment,
• find flexible solutions which are not only good but that can be easily adapted when necessary.

All four aspects are treated in this book, providing a holistic view on the challenges and opportunities when applying EAs to dynamic optimization problems. The comprehensive and up-to-date coverage of the subject, together with details of latest original research, makes Evolutionary Optimization in Dynamic Environments an invaluable resource for researchers and professionals who are dealing with dynamic and stochastic optimization problems, and who are interested in applying local search heuristics, such as evolutionary algorithms.

Reseña del editor: Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems. Yet, since they are based on the principles of natural evolution, and since natural evolution is a dynamic process in a changing environment, EAs are also well suited to dynamic optimization problems. Evolutionary Optimization in Dynamic Environments is the first comprehensive work on the application of EAs to dynamic optimization problems. It provides an extensive survey on research in the area and shows how EAs can be successfully used to

• continuously and efficiently adapt a solution to a changing environment,
• find a good trade-off between solution quality and adaptation cost,
• find robust solutions whose quality is insensitive to changes in the environment,
• find flexible solutions which are not only good but that can be easily adapted when necessary.

All four aspects are treated in this book, providing a holistic view on the challenges and opportunities when applying EAs to dynamic optimization problems. The comprehensive and up-to-date coverage of the subject, together with details of latest original research, makes Evolutionary Optimization in Dynamic Environments an invaluable resource for researchers and professionals who are dealing with dynamic and stochastic optimization problems, and who are interested in applying local search heuristics, such as evolutionary algorithms.

Bibliografische Details

Titel: Evolutionary Optimization in Dynamic ...
Verlag: Springer US
Erscheinungsdatum: 2001
Einband: Buch
Zustand: Neu