Evolutionary Optimization in Dynamic Environments: 3 (Genetic Algorithms and Evolutionary Computation, 3) - Tapa dura

Branke, Jürgen

 
9780792376316: Evolutionary Optimization in Dynamic Environments: 3 (Genetic Algorithms and Evolutionary Computation, 3)
Tapa dura
ISBN 10: 0792376315 ISBN 13: 9780792376316
Editorial: Springer, 2001

Sinopsis

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.

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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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2001
Idioma
Inglés
ISBN 10 
0792376315
ISBN 13 
9780792376316
Encuadernación
Tapa dura
Número de páginas
228
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9781461353003: Evolutionary Optimization in Dynamic Environments: 3 (Genetic Algorithms and Evolutionary Computation)

Edición Destacada

ISBN 10:  1461353009 ISBN 13:  9781461353003
Editorial: Springer, 2012
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