混合智能算法在电子设备动态管理优化中的应用

摘要

Hybrid intelligent algorithm combining differential evolution algorithm ( DEA ) with dictionary sorting algorithm( DSA) is proposed to manage dynamic electronic equipment goods allocation. The dy-namic management multi-objective optimization problem based on chosen path,access efficiency and sup-port stability is studied. Compared with the genetic algorithm( GA) dynamic management optimization,it is found that the DSA can construct the multi-objective function according to sequence number size,and the DEA can effectively optimize the multi-objective function. The simulation results show that the proposed hy-brid intelligent algorithm has fewer iteration steps,faster convergence speed and better execution efficiency.%应用微分进化算法( DEA)与字典排序算法( DSA)相结合的智能算法优化管理电子设备动态货位，研究了基于分拣选路径、存取效率、支架稳定性的动态管理多目标优化问题，并与采用遗传算法( GA)的动态管理优化进行了比对，发现字典排序算法能够按照数字顺序大小构建基于分拣选路径、存取效率、支架稳定性等因素重要程度的多目标函数，微分进化算法则能对多目标函数实施有效优化。仿真结果表明，混合智能算法迭代步数少，收敛速度快，具有更好的执行效率。