Abstract
A model is developed for selecting and scheduling interrelated waterway projects. It considers multiple alternatives, which may be implemented at different times, for each lock site, subject to budget constraints. This large combinatorial problem is analyzed with a simulation-based optimization model, in which simulation is used to evaluate alternative project schedules. A genetic algorithm is developed to solve the problem efficiently, subject to constraints on project multiplicity and precedence.
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