Designing Evolutionary Algorithms for Dynamic Environments
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Beschreibung
The robust capability of Evolutionary Algorithms (EAs) to find solutions to difficult problems has permitted them to become the optimization and search techniques of choice for many practical static problems. Despite this success in many different environments, EAs are often prone to failure when subjected to even small changes in the problem. This book addresses the issues involved in the design of EAs that successfully operate in dynamic environments without human intervention, and provides a method for creating EAs for these environments.
The first book focusing on robustness, stability, and performance of EAs in dynamic environments Includes supplementary material: sn.pub/extras
Autor*in
Ronald W. Morrison
Themen in »Designing Evolutionary Algorithms for Dynamic Environments«
Adaptive Algorithms Dynamic Systems Evolutionary Algorithms Evolutionary Programming Fitness Landscapes Genetic Algorithms Heuristics Immune Systems Optimization Problem Solving Systems Evolution algorithms evolutionary algorithm
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From the reviews:
"This book is a monograph explaining the research performed by the author in the field of dynamic search algorithms. … Overall, the work is presented in a clear manner and gives a useful introduction to what is likely to be a major area of development in the field of evolutionary algorithms. I would definitely recommend the book to all workers in this field who want a clear but rapid overview … ." (G. F. Page, Robotica, Vol. 24, 2006)
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