Are Multiple Runs of Genetic Algorithms Better than One?

Author:

Cantú-Paz Erick,Goldberg David E.

Publisher

Springer Berlin Heidelberg

Reference20 articles.

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3. Cantú-Paz, E., Goldberg, D.E.: Modeling idealized bounding cases of parallel genetic algorithms. In Koza, J., et al., eds.: Proceedings of the Second Annual Genetic Programming Conference, Morgan Kaufmann (1997) 353–361

4. Fuchs, M.: Large populations are not always the best choice in genetic programming. In Banzhaf, W., et al., eds.: Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann (1999) 1033–1038

5. Fernández, F., Tomassini, M., Punch, W., Sánchez, J.M.: Experimental study of isolated multipopulation genetic programming. In Whitley, D., et al., eds.: Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann (2000) 536

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