Linkage crossover for genetic algorithms
Ayed A. Salman, Kishan G. Mehrotra, Chilukuri Krishna Mohan · 1999
A new operator based on probabilistic methodology is proposed. The genetic algorithm using this operator is shown to be particularly successful for deceptive problems with linkages that are not easily captured by linear relationships. Further, adaptive Hebbian mechanisms are shown to be successful in learning the appropriate linkage relationships when faced with new problems. Results demonstrate the efficacy of this approach, compared with traditional general purpose crossover operators.