论文部分内容阅读
基于克隆选择算法基本原理,提出一种搜索函数最优解问题的自适应克隆选择算法(ACSA).在ACSA中,抗体的克隆数、高频变异率、每代更新数都能在优化过程中自适应调节,而且变异抗体具有免疫记忆功能.通过对ACSA的收敛性分析,并和标准克隆选择算法仿真比较,结果表明ACSA在求解函数最优解问题时具有较强的收敛性和自适应性.
Based on the basic principle of clonal selection algorithm, an adaptive clonal selection algorithm (ACSA) is proposed to solve the optimal solution of search functions.In the ACSA, the number of clones, the high frequency mutation rate and the number of updates per generation can be optimized during the optimization process Adaptive regulation, and the variant antibody has the function of immune memory.By the convergence analysis of ACSA and the comparison with the standard clone selection algorithm, the results show that ACSA has strong convergence and adaptability in solving the optimal solution of the function .