(Enter summary)
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... (Update)
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BibTeX entry: (Update)
F. Seredynski, P. Bouvry and F. Arbab, "Parallel and Distributed Evolutionary Computation with MANIFOLD", Fourth International Conference on Parallel Computing Technologies (PaCT-97) , Yaroslavl, Russia, 8-12 Sept., 1997, LNCS, Springer Verlag (these proceedings). http://citeseer.ist.psu.edu/seredynski97parallel.html More
@inproceedings{ seredynski97parallel,
author = "F. Seredynski and P. Bouvry and F. Arbab",
title = "{Parallel and Distributed Evolutionary Computation with Manifold}",
booktitle = "Proc. 4th Int. Conf. on Parallel Computing Technologies",
volume = "1277",
publisher = "Springer-Verlag, Berlin",
address = "Yaroslav, Russia",
editor = "V. Malyshkin",
pages = "94--108",
year = "1997",
url = "citeseer.ist.psu.edu/seredynski97parallel.html" }
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