计算机工程与应用2019，Vol.55Issue(22)：212-218,230,8.DOI:10.3778/j.issn.1002-8331.1808-0103
基于智能感知网的物料配送动态优化方法
Dynamic Optimization Method for Material Delivery Based on Intelligent Sensing Network
摘要
Abstract
Aiming at the demands for accurate and timely material delivery in dynamic workshop environment, intelligent sensing devices are deployed to build a real-time sensing network. According to the sensed real-time production state, delivery time windows of workstations are adjusted dynamically. The material delivery dynamic optimization model based on intelligent sensing network is set up with the minimum material delivery cost as the optimization goal. An improved tabu-search-based Ant Colony Optimization(ACO)algorithm is designed to solve the problem. To improve the search rate and stability, the algorithm merges the memory function of tabu search into ACO. The 2-opt local optimization method and the maximum-minimum pheromone strategy are introduced. A case study is conducted to verify the feasibility and effectiveness of the proposed model and algorithm.关键词
智能感知网/物料配送/动态优化/禁忌搜索/改进蚁群算法Key words
intelligent sensing network/material delivery/dynamic optimization/tabu search/improved ACO algorithm分类
信息技术与安全科学引用本文复制引用
葛妍娇,郭宇,黄少华,刘道元,张蓉..基于智能感知网的物料配送动态优化方法[J].计算机工程与应用,2019,55(22):212-218,230,8.基金项目
国家自然科学基金(No.51575274) （No.51575274）
南京航空航天大学研究生创新基地开放基金(No.KFJJ20170525) （No.KFJJ20170525）
国防基础科研重点项目(No.JCKY2016605B006) （No.JCKY2016605B006）
江西省重点研发计划项目(No.20161ACE50004). （No.20161ACE50004）
