基于RFID和遗传算法的实时炸药仓储优化操作

针对炸药仓储过程管理的优化问题，提出基于RFID和遗传算法的在线炸药仓储优化操作方法，使炸药仓储管理过程更具高效化、信息化、安全化和智能化。利用RFID技术实时获取炸药仓库信息，提出了炸药仓库库位分区策略。通过对炸药仓储工作特点及要求分析，建立炸药仓储的优化数学模型，并运用遗传算法求解模型得到优化解。实验仿真结果表明，该方法能够提高仓库的空间利用率，优化炸药存取过程的行走路径，较好地解决了受炸药有效期等约束的优化操作问题。

A optimized real time operation for explosives storage based on RFID and genetic algorithm

Aiming at optimization problems of management of explosive storage, an optimized on line operation method of explosives storage based on the Radio Frequency IDentification (RFID) technology and genetic algorithm is proposed, making management of explosives storage more efficient, informatization, secure, intelligent. The information of explosives warehouse are acquired by RFID real time technology, and an assignment strategy for location of explosive warehouse is proposed. The mathematical model of explosives storage optimization is constructed through analyzing operation characteristics of explosives storage and requirements, and the complicated model is solved by the genetic algorithm. The simulation results show that the proposed method can improve utilization rate of warehouse space, and optimize the walking path in the process of taking and putting the explosives, as well as solve the operating problems under the constraint condition, such as a validity of explosives.