A clonal selection algorithm based on non-uniform adaptive mutation

We propose an adaptive clonal selection algorithm, which can adaptively set the mutation rate of each antibody according to its affinity and utilize the non-uniform mutation to decrease the complexity of the algorithm and computational costs. Experiments were performed to evaluate the performance of our proposed algorithm in comparison with other methods, genetic algorithm, simulated annealing algorithm, genetic simulated annealing algorithm. The results show that our proposed algorithm consistently outperforms the traditional algorithms. Compared with traditional CSA, our proposed algorithm can more quickly find the optimal solution and hence provides an effective solution.