Abstract
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a traditional GA-based function optimizer. The results are encouraging in two respects. They suggest ways in which the performance of GA and other EA-based optimizers can be improved, and they suggest a new approach to evolving complex structures such as neural networks and rule sets.
Cite
CITATION STYLE
Potter, M. A., & De Jong, K. A. (1994). A cooperative coevolutionary approach to function optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 866 LNCS, pp. 249–257). Springer Verlag. https://doi.org/10.1007/3-540-58484-6_269
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