Topological optimization of computer networks using ant colony algorithm

Today, with the proliferation of computer and computer networks, the need for designing low cost and reliable computer networks is crucial. Due to the recent technological developments solving the big size problems is yielding a computation complexity; and computation of the exact result is becoming impossible. To resolve this problem, past research developed and used intuitive algorithms such as, Genetic Algorithm, Tabu Search, Simulated annealing, Neural Networks. In this research, to solve this NP-hard problem, topological optimization of the computer networks within the reliability constraints, a knowledge based hybrid ant colony algorithm is developed and adopted. The efficiency of algorithm analyzed for computation time and solution quality.