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- W2393045599 abstract "The description of mutation and crossover operators independent of representation of solutions is formulized. The precisely quantitative Markov chain model of populations of a genetic algorithm is presented. Based on this model, the stochastic matrix of Markov chain of the best-so-far individual with the highest fitness in populations is derived. The average convergence velocity of a genetic algorithm is defined as the mathematical expectation of the mean absorbing time that the best-so-far individual transfers to the absorbing state. The theoretic method and computing process of estimating the average convergence velocity of a genetic algorithm are proposed." @default.
- W2393045599 created "2016-06-24" @default.
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- W2393045599 date "2003-01-01" @default.
- W2393045599 modified "2023-09-27" @default.
- W2393045599 title "Estimating average convergence velocity of genetic algorithms" @default.
- W2393045599 hasPublicationYear "2003" @default.
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