Large Derivations, Evolutionary Computation and Comparisons of Algorithms
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
On the stationary distribution of GAs with fixed crossover probability
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Genetic Programming and Evolvable Machines
Deriving evaluation metrics for applicability of genetic algorithms to optimization problems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
An Analysis About the Asymptotic Convergence of Evolutionary Algorithms
Computational Intelligence and Security
Information Geometry and Information Theory in Machine Learning
Neural Information Processing
A Network Analysis of Genetic Algorithms
IEICE - Transactions on Information and Systems
The effect of crossover on evolution ability of population
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
About the limit behaviors of the transition operators associated with EAs
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms
Information Sciences: an International Journal
On properties of genetic operators from a network analytical viewpoint
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon
Fundamenta Informaticae
Variations of biogeography-based optimization and Markov analysis
Information Sciences: an International Journal
Hi-index | 0.00 |
This paper shows a theoretical property on the Markov chain of genetic algorithms: the stationary distribution focuses on the uniform population with the optimal solution as mutation and crossover probabilities go to zero and some selective pressure defined in this paper goes to infinity. Moreover, as a result, a sufficient condition for ergodicity is derived when a simulated annealing-like strategy is considered. Additionally, the uniform crossover counterpart of the Vose-Liepins formula is derived using the Markov chain model