摘要
农超对接是农产品基地与市场对接的主要模式,合理的基地选址可以降低物流成本。两阶段模糊最小风险农超对接基地选址模型中包含模糊变量,属于无限维的优化问题。依靠逼近方法将原无限维优化问题转化为近似有限维的模糊最小风险问题,并建立了收敛定理,设计了混合智能算法对模型求解。实例证明,模型求解方法具有较高的准确性,由此得到的选址方案真实可靠,具有较高的理论指导意义和实际应用价值。
In this paper, using the approximation method, we converted the originally infinite-dimension optimization problem of location allocation of farmer-supermarket docking bases into an approximate finite-dimension fuzzy minimal risk problem, established the theorem of convergence, and designed the hybrid intelligent algorithm to solve the model. At the end, through an empirical study, we proved that such model and algorithm could ensure high accuracy.
出处
《物流技术》
北大核心
2013年第4期142-144,共3页
Logistics Technology
基金
保定市科学技术研究与发展指导计划(第二批)(11ZN029)
关键词
农超对接
两阶段模糊最小风险
基地选址
逼近方法
收敛定理
farmer-supermarket docking
two-stage fuzzy minimal risk
base location allocation
approximation method
theorem of convergence
