Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39978
Title: Integrating local search and network flow to solve the inventory routing problem
Authors: Lau, H.C. 
Liu, Q.
Ono, H.
Keywords: AI/OR integration
Applications
Hybrid methods
Planning
Scheduling
Search
Issue Date: 2002
Source: Lau, H.C.,Liu, Q.,Ono, H. (2002). Integrating local search and network flow to solve the inventory routing problem. Proceedings of the National Conference on Artificial Intelligence : 9-14. ScholarBank@NUS Repository.
Abstract: The inventory routing problem is one of important and practical problems in logistics. It involves the integration of inventory management and vehicle routing, both of which are known to be NP-hard. In this paper, we combine local search and network flows to solve the inventory management problem, by utilizing the minimum cost flow sub-solutions as a guiding measure for local search. We then integrate with a standard VRPTW solver to present experimental results for the overall inventory routing problem, based on instances extended from the Solomon benchmark problems.
Source Title: Proceedings of the National Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/39978
Appears in Collections:Staff Publications

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