Artificial immune algorithm in solving the channel assignment task

This paper investigates the potential of Artificial Immune Systems (AIS) in solving the channel allocation problem in wireless communication. The main objective is to find the minimum number of channels to satisfy the demands of a network without violating any given constraints. The proposed methodology is applied to new datasets which were generated based on user requirements. These new datasets consist of two hundred problem instances, which vary from easy and small to complex and difficult problem settings. Comparisons with other methods, i.e. randomized-based heuristic and Genetic Algorithm, are carried out to evaluate the performance of the AIS on this problem. AIS is shown to be an efficient methodology for this problem.