Designing evolutionary algorithms for dynamic environments /

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 su...

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Bibliographic Details
Main Author:	Morrison, Ronald W. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Berlin : Springer, [2004]
Series:	Natural computing series.
Subjects:	Evolutionary programming (Computer science) Genetic algorithms. Dynamic programming. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Introduction
Problem analysis
Solutions from nature and engineering
Diversity measurement
A new EA for dynamic problems
Experimental methods
Performance measurement
Analysis and interpretation of experimental results
Experimental results for population initialization
Summary and conclusion
Notation
References
Index.