A Model of Continuous Time Genetic Algorithms and its Strong Convergence in Probability
Guosheng Cheng · Mathematica Applicata · 2002
In the framework of the hidden Markov chain {X_t∶t∈\[0,∞)}, this paper is devoted to develop a model of continuous time genetic algorithms and study its strong convergence in probability, as well as the convergence of its discrete skeleton.