Article
Analysis of convergence of an evolutionary algorithm with self-adaptation using a stochastic Lyapunov function.
Evolutionary computation - 1 Jan 2003
Semenov Mikhail A, Terkel Dmitri A
Abstract excerpt
This paper analyses the convergence of evolutionary algorithms using a technique which is based on a stochastic Lyapunov function and developed within the martingale theory. This technique is used to investigate the convergence of a simple evolutionary algorithm with self-adaptation, which contains two types of parameters: fitness parameters, belonging to the domain of the objective function; and control...
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