| 摘要: |
| 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。 |
| 关键词: 电子设备 动态管理 混合算法 微分进化算法 字典排序算法 多目标优化 |
| DOI： |
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| 基金项目: |
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| Application of hybrid intelligent algorithm in electronic equipment dynamic management optimization |
| FAN Jun |
| () |
| Abstract: |
| Hybrid intelligent algorithm combining differential evolution algorithm(DEA) with dictionary sorting algorithm(DSA) is proposed to manage dynamic electronic equipment goods allocation. The dynamic management multi-objective optimization problem based on chosen path,access efficiency and support stability is studied.Compared with the genetic algorithm（GA） dynamic management optimization,it is found that the DSA can construct 〖JP2〗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 hybrid intelligent algorithm has fewer iteration steps,faster convergence speed and better execution efficiency. |
| Key words: electronic equipment dynamic management hybrid algorithm differential evolution algorithm dictionary sorting algorithm multi-objective optimization |
