Distributed evolutionary optimization, in Manifold: Rosenbrock's function case study

摘要: Abstract A competitive coevolutionary approach using loosely coupled genetic algorithms is proposed for a distributed optimization of Rosenbrock's function. The computational scheme system agents with only local interaction among them, without any central synchronization. We use recently developed coordination language, called Manifold, to implement our algorithm. show that this implementation outperforms sequential algorithm based on standard algorithms.