Local optimization and the traveling salesman problem
Proceedings of the seventeenth international colloquium on Automata, languages and programming
Efficient local search for very large-scale satisfiability problems
ACM SIGART Bulletin
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Ejection chains, reference structures and alternating path methods for traveling salesman problems
Discrete Applied Mathematics - Special volume: first international colloquium on graphs and optimization (GOI), 1992
Tabu Search
An Inventory Management Problem
Constraints
Solving a Supply Chain Optimization Problem Collaboratively
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Probabilistic Analyses and Practical Algorithms for Inventory-Routing Models
Operations Research
A multi-agent approach for solving optimization problems involving expensive resources
Proceedings of the 2005 ACM symposium on Applied computing
Performance Measurement for Inventory Routing
Transportation Science
High-Performance Local Search for Solving Real-Life Inventory Routing Problems
SLS '09 Proceedings of the Second International Workshop on Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Randomized Local Search for Real-Life Inventory Routing
Transportation Science
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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.