Grammar-based generation of variable-selection heuristics for constraint satisfaction problems-Reference-Cited by-同舟云学术

Grammar-based generation of variable-selection heuristics for constraint satisfaction problems

Published:2015-09-15 Issue:2 Volume:17 Page:119-144
ISSN:1389-2576
Container-title:Genetic Programming and Evolvable Machines
language:en
Short-container-title:Genet Program Evolvable Mach

Author:

Sosa-Ascencio Alejandro,Ochoa Gabriela,Terashima-Marin Hugo,Conant-Pablos Santiago Enrique

Funder

Consejo Nacional de Ciencia y Tecnología (MX)

Instituto Tecnológico y de Estudios Superiores de Monterrey (MX)

Engineering and Physical Sciences Research Council (GB)

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/s10710-015-9249-1.pdf

Reference48 articles.

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2. M. Bader-El-Den, R. Poli, A GP-based hyper-heuristic framework for evolving 3-SAT heuristics, in Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, GECCO ’7 (2007), p. 1749

3. M. Bader-El-Den, R. Poli, S. Fatima, Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework. Memet. Comput. 1(3), 205–219 (2009)

4. S. Bain, J. Thornton, A. Sattar, Evolving algorithms for constraint satisfaction, in Congress on Evolutionary Computation (2004), pp. 265–272

5. S. Bain, J. Thornton, A. Sattar, Methods of automatic algorithm generation, in PRICAI 2004: Trends in Artificial Intelligence (2004), pp. 1–10

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