A New Approach of Backbone Topology Design Used by Combination of GA and PSO Algorithms

journal of Artificial Intelligence in Electrical Engineering

مقاله 8، دوره 1، شماره 4، خرداد 2013، صفحه 49-57

چکیده

A number of algorithms based on the evolutionary processing have been proposed for
communication networks backbone such as Genetic Algorithm (GA). However, there has been
little work on the SWARM optimization algorithms such as Particle Swarm Optimization
(PSO) for backbone topology design. In this paper, the performance of PSO on GA is
discussed and a new algorithm as PSOGA is proposed for the network topology design. The
simulations for specific examples show that the performance of the new algorithm is better
than other common methods.

کلیدواژه‌ها

backbone؛ Cost؛ Genetic Algorithm؛ Network Topology design؛ PSO Algorithm؛ Swarm intelligence

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