Abstract. This paper introduces a method to minimize distributed PSO algorithm execution time in a grid computer environment, based on a reduction in the information interchanged among the demes involved in the process of finding the best global fitness solution. Demes usually interchange the best global fitness solution they found at each iteration. Instead of this, we propose to interchange information only after an specified number of iterations are concluded. By applying this technique, it is possible to get a very significant execution time decrease without any loss of solution quality.
The multicast function, required in the ATM switching architectures, is applied t o a T andem-Banyan network. The internal blocking condition, characteristic of every banyan is analyzed and a new solution is proposed, according to the kind of conict. Also the delay in the overall network is analyzed and compared with similar designs.
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