Optimization of Cost Function of LAN Using Particle Swarm Optimization and Genetic Algorithm
Keywords:
Optimal Area, Demand Density, Network size estimation, incremental cost and contour plotAbstract
Under network planning and optimization, the size of service area of a network has to be estimated to minimize the total cost. In this paper we consider the cost function of wired network of telecommunication switching station, which is applied for wired LAN. The function contains both fixed and variable cost with respect to size of the network and does not provide sharp minima on multidimensional plane hence steepest descent method could not solve the cost function. To overcome the situation, we applied Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to acquire the optimum size of the network. The theoretical, PSO and GA provide very close results shown both in table and graph.
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