Utilizing dynastically optimal forma recombination in hybrid genetic algorithms-Reference-Cited by-同舟云学术

Utilizing dynastically optimal forma recombination in hybrid genetic algorithms

Published:1998 Issue: Volume: Page:305-314
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Cotta Carlos,Alba Enrique,Troya José M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/BFb0056873

Reference14 articles.

1. Beasley J.E.: OR-Library: Distributing Test Problems by Electronic Mail. Journal of the Operational Research Society 41(11):1069–1072 (1990)

2. Cotta C, Aldana J.F., Nebro A.J., Troya J.M.: Hybridizing Genetic Algorithms with Branch & Bound Techniques for the Resolution of the TSP. In: Artificial Neural Nets and Genetic Algorithms, Pearson D., Steele N., Albrecht R. (editors), Springer-Verlag (1995) 277–280

3. Cotta C, Troya J.M.: On Decision-Making in Strong Hybrid Evolutionary Algorithms. In: Tasks and Methods in Applied Artificial Intelligence, Del Pobil A.P., Mira J., Ali M. (editors), Lecture Notes in Artificial Intelligence 1415, Springer-Verlag (1998) 418–427

4. Cotta C, Troya J.M.: Genetic Forma Recombination in Permutation Flowshop Problems. Evolutionary Computation 6(1):25–44 (1998)

5. Cotta C, A Study of Hybridisation Techniques and their Application to the Design of Evolutionary Algorithms, PhD Thesis, University of Málaga (1998) — in Spanish

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