An Investigation of Niche and Species Formation in Genetic Function Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
Building Better Test Functions
Proceedings of the 6th International Conference on Genetic Algorithms
Measurement of Population Diversity
Selected Papers from the 5th European Conference on Artificial 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.
Niching in evolution strategies
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
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The selection event algorithm introduced an interesting method of creating offspring from parents in a multi-generational manner with a period of fitness neutrality followed by an intense selection event. This algorithm did not have a focus on maintaining diversity in the population, so it had all of the same pitfalls as other algorithms lacking such a focus. However, due to the novel multi-generational growth structure a natural family tree is created in the population, allowing for an equally natural diversity maintenance to be implemented which does not require any artificial diversity constraints to be placed on the fitness function. Instead, diversity is maintained (and encouraged) in the population through the growth dynamics of each family.