Paper Info
Title
A Generalized Stationary Point Convergence Theory for Evolutionary Algorithms
Abstract
This paper presents a convergence theory forevolutionary pattern search algorithms (EPSAs). EPSAs are self-adapting evolutionaryalgorithms that modify the step size of themutation operator in response to the successof previous optimization steps. Previously,we have proven a stationary point convergencetheory for EPSAs for which the stepsize is not allowed to increase. The presentanalysis generalizes this analysis to prove aconvergence theory for EPSAs that are allowedto both increase ...
Year
Venue
Keywords
1997
ICGA
stochastic process,evolutionary algorithm,pattern search,iteration method
Field
DocType
Citations 
Convergence (routing),Mathematical optimization,Evolutionary algorithm,Computer science,Iterative method,Compact convergence,Stochastic process,Stationary point,Symbolic convergence theory,Pattern search
Conference
6
PageRank 
References 
Authors
1.29
3
1
Name
Order
Citations
PageRank
William E. Hart11028141.71