A Memetic Framework for Cooperative Co-evolutionary Feedforward Neural Networks
Rohitash Chandra, Marcus R. Frean, Jun Zhang · 2010
Cooperative co-evolution has been a major approach in neuro-evolution. Memetic computing approaches employ local refinement to selected individuals in a population. The use of crossover-based local refinement has gained attention in memetic computing. This work proposes a cooperative co-evolutionary framework that utilises the strength of local refinement from memetic computing. It employs a crossover-based local search for refinement. The proposed framework is used for training feedforward neural networks on pattern classification problems. The results show that the proposed approach can achieve better performance than the standard cooperative coevolution framework.