A Cooperative Coevolutionary Approach to Function Optimization

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.

• Type: Conference
• Year: 1994
• Where: PPSN
• Authors: Mitchell A. Potter, Kenneth A. De Jong
• Keywords: Distributed And Parallel Computing, Function Optimization, GA-based Function Optimizer, General Model, PPSN 1994