OverlayNetworkOptimization

Genetic Algorithm (GA) to optimize the cost of an overlay network of 25 nodes. A GA is constructed from several distinct constituents to start the cost optimization problem. These constituents include chromosome encoding, fitness function, selection, recombination & the evolution scheme. In this problem, every individual in a population encodes a complete network and each link is either active or inactive. The GA has applied to find the average & best chromosome in the population and create a performance graph to see the convergence