Using genetic algorithms to solve NP-complete problems
Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evaluating evolutionary algorithms
Artificial Intelligence - Special volume on empirical methods
Selective crossover: towards fitter offspring
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Simulating Gender Separation With Genetic Algorithms
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Evolution and Biocomputation, Computational Models of Evolution
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
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In this paper, we are modelling a situation in an evolutionary population where a genetically inherited feature is part of a distribution of probabilities that gives it low expectations to be present in the next generation, for example, recessive features. In many such cases observed in nature, such features seem to persist longer than predicted by the probabilistic odds. In our experiment, we intend to demonstrate how the fitness-proportionate selection can have an influence on the persistence of such features. In this simulation we focus on gender differentiation and mating constraints, and we examine their evolution in a mixed population where they are genetically inherited.