Evolutionary Optimization in Dynamic Environments

Branke, Jürgen

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.

Details

Published by: Springer

Publication Date: 2012-10-31

Format: Paperback

ISBN-10: 9781461353003

ISBN-13: 9781461353003

DOI: 10.1007/978-1-4615-0911-0

Dimensions: 235cm x155cm

Pages: 208