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A scalable cellular implementation of parallel genetic programming
2003
IEEE Transactions on Evolutionary Computation
A new parallel implementation of genetic programming based on the cellular model is presented and compared with both canonical genetic programming and the island model approach. The method adopts a load balancing policy that avoids the unequal utilization of the processors. Experimental results on benchmark problems of different complexity show the superiority of the cellular approach with respect to the canonical sequential implementation and the island model. A theoretical performance
doi:10.1109/tevc.2002.806168
fatcat:usz654josfbwlpl47jag4hnaem