Immune system multiobjective optimization algorithm for analysis of communication network planning

Based on Artificial Immune System, a novel Immune System Multiobjective Optimization Algorithm (ISMOA) for Analysis of Communication Network Planning is proposed. The problem can be transformed into multiobjective 0/1 knapsack problem by modeling. By fixing the avidity properly, presenting vaccine operation and clonal selection operation, ISMOA guides the selection process towards the Pareto-optimal front and preserves the diversity of the solutions. The comparisons of ISMOA with other algorithms suggest that ISMOA clearly outperforms in solutions performances of coverage and distribution.