Local search in speciation-based bloat control for genetic programming-Reference-Cited by-同舟云学术

Local search in speciation-based bloat control for genetic programming

Published:2019-03-23 Issue:3 Volume:20 Page:351-384
ISSN:1389-2576
Container-title:Genetic Programming and Evolvable Machines
language:en
Short-container-title:Genet Program Evolvable Mach

Author:

Juárez-Smith Perla,Trujillo Leonardo^ORCID,García-Valdez Mario,Fernández de Vega Francisco,Chávez Francisco

Funder

Consejo Nacional de Ciencia y Tecnología

Ministerio de Economía y Competitividad

Ministerio de Educación, Cultura y Deporte

Consejería de Educación y Empleo, Junta de Extremadura

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s10710-019-09351-7.pdf

Reference45 articles.

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4. D. Applegate, B. Mayfield, An analysis of exchanging fitness cases with population size in symbolic regression genetic programming with respect to the computational model. in 2013 IEEE Congress on Evolutionary Computation (2013), pp. 3111–3116

5. R.M.A. Azad, C. Ryan, A simple approach to lifetime learning in genetic programming-based symbolic regression. Evol. Comput. 22(2), 287–317 (2014)

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