Dynamic Demes parallel genetic algorithm
Mariusz Nowostawski, Riccardo Poli · 2003
Dynamic Demes is a novel method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-slave distributed fitness evaluation model and the static subpopulation model. The authors present the algorithm, perform a theoretical analysis of its performance and present experimental results where Dynamic Demes was compared with other algorithms.