改进的哈里斯鹰算法求解农产品供应链调度

针对农产品流通体系的效率低、流通链条协同效率不高、紧急情况下食品供给慢等问题,通过将农产品供应链调度问题建模成混合流水车间调度问题。结合禁忌搜索算法中禁忌表机制,离散化实数编码,提出了一种改进的哈里斯鹰算法来求解农产品供应链调度问题。该方法相比较原始的哈里斯鹰算法,降低了算法陷入局部最优的可能,进一步提高了算法的求解精度。实验结果表明：相比较对比算法,改进的哈里斯鹰算法在提出的农产品供应链调度问题模型上取得了更好的效果。

Improved Harris hawks algorithm for agricultural supply chain scheduling

Aiming at the problems of low efficiency of agricultural products circulation system, inefficient circulation chain collaboration and slow food supply in emergency situations, this paper modeled the agricultural products supply chain scheduling problem as a hybrid flow shop scheduling problem. Combining the taboo table mechanism in the taboo search algorithm and discretizing the real number encoding, this paper proposed an improved Harris hawk algorithm to solve the agricultural products supply chain scheduling problem. The method reduced the possibility of the algorithm falling into local optimum and further improved the solution accuracy of the algorithm compared with the original Harris hawk algorithm. The experimental results show that the improved Harris Hawk algorithm achieves better results on the model of the agricultural products supply chain scheduling problem proposed in this paper compared with other comparative algorithms.