Evolving a predator-prey ecosystem of mathematical expressions with grammatical evolution

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dc.contributor.author Alfonseca, Manuel
dc.contributor.author Soler Gil, Francisco José
dc.contributor.other UAM. Departamento de Ingeniería Informática es_ES
dc.date.accessioned 2015-02-05T15:50:39Z
dc.date.available 2015-02-05T15:50:39Z
dc.date.issued 2015-01-01
dc.identifier.citation Complexity 20.3 (2015): 66 – 83 en_US
dc.identifier.issn 1076-2787 (print) en_US
dc.identifier.issn 1099-0526 (online) en_US
dc.identifier.uri http://hdl.handle.net/10486/663611
dc.description This is the accepted version of the following article: Alfonseca, M. and Soler Gil, F. J. (2015), Evolving a predator–prey ecosystem of mathematical expressions with grammatical evolution. Complexity, 20: 66–83, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/cplx.21507/abstract en_US
dc.description.abstract This article describes the use of grammatical evolution to obtain a predator–prey ecosystem of artificial beings associated with mathematical functions, whose fitness is also defined mathematically. The system supports the simultaneous evolution of several ecological niches and through the use of standard measurements, makes it possible to explore the influence of the number of niches and the values of several parameters on “biological” diversity and similar functions. Sensitivity analysis tests have been made to find the effect of assigning different constant values to the genetic parameters that rule the evolution of the system and the predator–prey interaction or of replacing them by functions of time. One of the parameters (predator efficiency) was found to have a critical range, outside which the ecologies are unstable; two others (genetic shortening rate and predator–prey fitness comparison logistic amplitude) are critical just at one side of the range), the others are not critical. The system seems quite robust, even when one or more parameters are made variable during a single experiment, without leaving their critical ranges. Our results also suggest that some of the features of biological evolution depend more on the genetic substrate and natural selection than on the actual phenotypic expression of that substrate en_US
dc.format.extent 37 pág. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher Wiley Periodicals, Inc. en_US
dc.relation.ispartof Complexity en_US
dc.rights Copyright © 2015 John Wiley & Sons, Ltd. en_US
dc.subject.other Ecological diversity en_US
dc.subject.other Ecosystem simulation en_US
dc.subject.other Grammatical evolution en_US
dc.title Evolving a predator-prey ecosystem of mathematical expressions with grammatical evolution en_US
dc.type article en_US
dc.subject.eciencia Informática es_ES
dc.date.embargoend 2016-02-01
dc.relation.publisherversion http://dx.doi.org/10.1002/cplx.21507
dc.identifier.doi 10.1002/cplx.21507
dc.identifier.publicationfirstpage 66
dc.identifier.publicationissue 3
dc.identifier.publicationlastpage 83
dc.identifier.publicationvolume 20
dc.type.version info:eu-repo/semantics/acceptedVersion en
dc.rights.accessRights openAccess en
dc.authorUAM Alfonseca Moreno, Manuel (258923)


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