Experimental Study of Multipopulation Parallel Genetic Programming
Proceedings of the European Conference on Genetic Programming
Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
On the scalability of parallel genetic algorithms
Evolutionary Computation
Future Generation Computer Systems
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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A hierarchical distributed evolutionary algorithm (hdEA) to TSP is proposed in this paper to enhance the performance of evolution algorithm (EA). This hdEA has a two-level migration combination in which global migrations and local ones are both in ring topology. Moreover, to simplify the settings, the ratio of local migrations and global ones is used to replace interval of these two kinds of migrations. In experiments using several instances from TSPLIB, the outcomes of this hdEA and those of the dEA with ring topology were compared. The results show the comprehensive advantage of the hdEA.