Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Efficiently representing populations in genetic programming
Advances in genetic programming
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Reducing Bloat in Genetic Programming
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
A Metric for Genetic Programs and Fitness Sharing
Proceedings of the European Conference on Genetic Programming
Genetic Programming Bloat with Dynamic Fitness
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Distance Between Herbrand Interpretations: A Measure for Approximations to a Target Concept
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
An Analysis of Hierarchical Genetic Programming
An Analysis of Hierarchical Genetic Programming
The benefits of computing with introns
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
A population dynamics model to describe gene frequencies in evolutionary algorithms
Applied Soft Computing
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This paper presents a technique to drastically reduce the size of a population, while still maintaining sufficient diversity for evolution. An advantage of a reduced population size is the reduced number of fitness evaluations necessary. In domains where calculation of fitness values is expensive, this results in a huge speedup of the search. Additionally, in the experiments performed, smaller populations also resulted in a faster convergence speed towards an optimal solution.