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

Stephan Winkler; Michael Affenzeller; Stefan Wagner

doi:10.1145/2001858.2001967

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

Stephan Winkler, Michael Affenzeller, Stefan Wagner

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
Publisher	ACM Sigevo
Pages	195-196
Number of pages	2
ISBN (Print)	9781450306904
DOIs	https://doi.org/10.1145/2001858.2001967
Publication status	Published - 2011
Event	13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 - Dublin, Ireland Duration: 12 Jul 2011 → 16 Jul 2011

Publication series

Name	Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication

Conference

Conference	13th Annual Genetic and Evolutionary Computation Conference, GECCO'11
Country/Territory	Ireland
City	Dublin
Period	12.07.2011 → 16.07.2011

Keywords

data mining
genetic programming
machine learning
population dynamics
system identification

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10.1145/2001858.2001967

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Winkler, S., Affenzeller, M., & Wagner, S. (2011). Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. In Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication (pp. 195-196). (Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication). ACM Sigevo. https://doi.org/10.1145/2001858.2001967

Winkler, Stephan ; Affenzeller, Michael ; Wagner, Stefan. / Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. ACM Sigevo, 2011. pp. 195-196 (Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication).

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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.",

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author = "Stephan Winkler and Michael Affenzeller and Stefan Wagner",

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series = "Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication",

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Winkler, S , Affenzeller, M & Wagner, S 2011, Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. in Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication, ACM Sigevo, pp. 195-196, 13th Annual Genetic and Evolutionary Computation Conference, GECCO'11, Dublin, Ireland, 12.07.2011. https://doi.org/10.1145/2001858.2001967

Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. / Winkler, Stephan ; Affenzeller, Michael ; Wagner, Stefan.
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. ACM Sigevo, 2011. p. 195-196 (Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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AB - 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.

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KW - genetic programming

KW - machine learning

KW - population dynamics

KW - system identification

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BT - Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication

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T2 - 13th Annual Genetic and Evolutionary Computation Conference, GECCO'11

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Winkler S , Affenzeller M , Wagner S. Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. In Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. ACM Sigevo. 2011. p. 195-196. (Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication). doi: 10.1145/2001858.2001967

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

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