多客观的基因算法对 solvingmulti 客观的优化问题合适。由基因算法的使用,在这份报纸的 5 盒子 isexplored 的优化。实验的结果证明与启发式的变化策略, thealgorithm 有高寻找的效率和快集中速度。同时,我们也有考虑 5 盒子的 theavalanche 概率,除非线性和差别 uniformity.Under 以外这个方法,为 6x6 5 盒子的一个有效基因算法被提供,有好密码的能力的数字 of5 盒子能被获得。
Multi-objective genetic algorithm is much suitable for solving multi-objective optimization problems. By use of Genetic algorithm, the optimization of S-boxes is explored in this paper. Results of the experiments show that, with heuristic mutation strategy, the algorithm has high searching efficiency and fast convergence speed. Meanwhile, we also have take the avalanche probability of S-boxes into account, besides nonlinearity and difference uniformity. Under this method, an effective genetic algorithm for 6×6 S-boxes is provided and a number of S-boxes with good cryptographic capability can be obtained.