Parallel and Distributed Evolutionary Computation with MANIFOLD
by Franciszek Seredynski, Pascal Bouvry, Farhad Arbab
Abstract:
In this paper, we apply a competitive coevolutionary approach using loosely coupled genetic algorithms to a distributed optimization of the Rosenbrock's function. The computational scheme is a coevolutionary system of agents with only local interaction among them, without any central synchronization. We use a recently developed coordination language called Manifold to implement our distributed optimization algorithm. We show that the distributed optimization algorithm implemented using Manifold outperforms the sequential optimization algorithm based on a standard genetic algorithm.
Keywords: theory
Source:
F. Seredynski, P. Bouvry, F. Arbab, Parallel and Distributed Evolutionary Computation with MANIFOLD. In V. Malyshkin (ed.),
Parallel Computing Technologies: Proceedings of the 4th International Conference,
Lect. Notes in Comp. Sci., Vol. 1277, Springer, 1997, pp. 94-108
