基于遗传算法的焦化大车走行时间优化研究

Optimization for Travel Time of Coking Machine Based on Genetic Algorithm

采用遗传算法实现了对焦化大车走行时间的优化控制。在建立了大车走行时间的目标函数及约束条件后,对走行时间的函数模型进行了遗传算法的优化,并编写Matlab函数进行仿真,得出了优化的大车走行时间。将基于遗传算法的优化走行时间与传统的匀加速大车走行时间进行了比较和分析,证明了基于遗传算法的大车优化走行时间具有很好的优越性和时效性。

The genetic algorithm is adopted to realize the travel time optimal control of coking machines.After the objective function and constraint conditions of the coking machine travel time is established,the function model of travel time is optimized with the genetic algorithm,the function is written and simulated with MATLAB,and the optimized travel time of the machine is obtained.By comparison and analysis of the optimized travel time based on the genetic algrithm and the traditional travel time of the machine,it proves that the machine′s optimized travel time based on genetic algorithm has higher superiority and timeliness.