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Approximate Dynamic Programming for a Class of Long-Horizon Maritime Inventory Routing Problems
2015
Transportation Science
We study a deterministic maritime inventory routing problem with a long planning horizon. For instances with many ports and many vessels, mixed-integer linear programming (MIP) solvers often require hours to produce good solutions even when the planning horizon is 90 or 120 periods. Building on the recent successes of approximate dynamic programming (ADP) for road-based applications within the transportation community, we develop an ADP procedure to generate good solutions to these problems
doi:10.1287/trsc.2014.0542
fatcat:ms3lfqtybjaklcvolwjtf3a5h4