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针对当前选煤厂配煤调度中配料误差大、生产稳定性差等问题,提出了基于蚁群算法的配煤调度优化。该算法能够在复杂的环境中规划出最佳配煤方案,并获得最佳经济效益。仿真结果验证了蚁群算法在选煤厂配煤调度中的有效性。
In view of the problems such as large ingredient error and poor production stability in coal preparation scheduling of coal preparation plant, the coal blending scheduling optimization based on ant colony algorithm is proposed. The algorithm is able to plan the optimal coal blending plan in the complicated environment and obtain the best economic benefits. The simulation results verify the effectiveness of ant colony algorithm in coal preparation scheduling of coal preparation plant.