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- W356047451 abstract "Tasked with operations and maintenance of the navigable waterways throughout the nation, the U.S. Army Corps of Engineers must ensure sufficient depths in the ports and channels to allow commercial shipping vessels to move throughout the marine transportation network efficiently. Without regular maintenance dredging, the waterways experience sedimentation and resulting reductions in navigable depths, forcing vessels to travel at shallower depths by carrying less cargo, thereby increasing overall shipping costs. Since maintenance dredging funds are not available to fully maintain every federal navigation project to authorized dimensions, the Corps must determine the optimal distribution of funds across the ports and waterways to ensure minimum disruptions to shipping and maximum economic benefits nationally. To address this need, in this study detailed tonnage data from the Corps’ Waterborne Commerce Statistics Center for both deep and shallow-draft cargo are used along with representative shoaling rates and associated annual maintenance dredging costs for a slate of port areas around the country. A genetic algorithm (GA) is employed in pursuit of improved cost-effectiveness for annual maintenance dredging conducted across a large waterway network over a 20-year maintenance horizon, with total supported system tonnage used as the objective function quantity. The multi-year simulations are conducted for constrained budget scenarios in 10% increments for hundreds of port areas nationally. Comparisons with a project-based heuristic are made to gage the validity of the GA output." @default.
- W356047451 created "2016-06-24" @default.
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- W356047451 date "2015-01-01" @default.
- W356047451 modified "2023-09-23" @default.
- W356047451 title "Improved Waterway Network Maintenance Strategies via Genetic Algorithms" @default.
- W356047451 hasPublicationYear "2015" @default.
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