Your Waterstones card is changing, introducing...
TELL ME MORE
Evolutionary Optimization in Dynamic Environments - Genetic Algorithms and Evolutionary Computation 3 (Paperback)
  • Evolutionary Optimization in Dynamic Environments - Genetic Algorithms and Evolutionary Computation 3 (Paperback)
zoom

Evolutionary Optimization in Dynamic Environments - Genetic Algorithms and Evolutionary Computation 3 (Paperback)

(author)
£188.50
Paperback 208 Pages / Published: 31/10/2012
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461353003
Number of pages: 208
Weight: 355 g
Dimensions: 235 x 155 x 12 mm
Edition: Softcover reprint of the original 1st ed. 200

You may also be interested in...

The Quest for Artificial Intelligence
Added to basket
Introducing Artificial Intelligence
Added to basket
Superintelligence
Added to basket
£18.99
Hardback
Programming Game AI By Example
Added to basket
Understanding Beliefs
Added to basket
Artificial Intelligence: The Basics
Added to basket
Dark Pools
Added to basket
£9.99
Paperback
Bayesian Reasoning and Machine Learning
Added to basket
The Elements of Statistical Learning
Added to basket
Programming Computer Vision with Python
Added to basket
The Singularity is Near
Added to basket
Understanding Machine Learning
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.