Toward an extrapolation of the simulated annealing convergence theory onto the simple genetic algorithm144438
Theoretical Computer Science
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Foundations of Genetic Algorithms
Foundations of Genetic Algorithms
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The effect of varying the crossover rate in the evolution of bidding strategies
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
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We analyse the convergence of a GA when the mutation probability is low and the selection pressure is high, for arbitrary crossover types and probabilities. We succeed in mathematically proving that the stationary distribution associated with the Markov chain concentrates on uniform populations of the best individuals, as would be expected.