Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation

Authors:
Stephan M. Winkler;Michael Affenzeller;Stefan Wagner
Affiliations:
Upper Austria University of Applied Sciences, Hagenberg, Austria;Upper Austria University of Applied Sciences, Hagenberg, Austria;Upper Austria University of Applied Sciences, Hagenberg, Austria
Venue:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Year:
2011

Citing 3
Cited 0

Fine-grained population diversity estimation for genetic programming based structure identification

Proceedings of the 10th annual conference on Genetic and evolutionary computation
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
Diversity in genetic programming: an analysis of measures and correlation with fitness

IEEE Transactions on Evolutionary Computation

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Abstract

In this paper we use a formalism for estimating the structural similarity of formulas for measuring the genetic diversity among GP populations. As we show in the results section of this paper, population diversity differs a lot in the test runs depending on the selection schemata used; especially the use of strict offspring selection has a significant effect on the progress of the population's diversity.