摘要
需求种类分析对选址决策至关重要,考虑了消费者需求种类为多元化,且各类需求间有影响的网络上截流(FIP)选址问题,引入路径上需求损失函数,建立了收益最大和总的建设成本最小的双目标的多元需求FIP(mDFIP)的新模型。所建立的模型为NP-hard问题,设计了多目标演化算法求解模型,最后通过具体的算例与基于ε约束法的分支定界法进行比较,结果表明在求解效率上多目标演化算法具有很大优势。
The type of demand is vital for the location decision.We consider the flow interception problem(FIP) location on the network with multi-demand and the interaction existed among them.Through the demand loss function,we develop a new model of bi-objective multi-demand FIP(mDFIP) model,one objective of our model is to maximize the revenue and the other objective is to minimize the total cost.The model is NP-hard problem,we design the multi-objective evolution algorithm to solve it,and computational experiment is described by comparing multi-objective evolution algorithm with branch and bound method which based on ε-constraint.It shows that the multi-objective evolution algorithm is high-efficiency in solving the model.
出处
《工业工程与管理》
北大核心
2010年第2期62-66,97,共6页
Industrial Engineering and Management
基金
国家自然科学基金(70871044)
教育部新世纪优秀人才支持计划项目(NCET-06-0653)
关键词
截流问题
选址
多元需求
多目标演化算法
FIP
location
multi-demand
multi-objective evolution algorithm
作者简介
张曦(1980-),女,河北南宫人,博士研究生,主要研究方向为选址和网络优化等。