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This paper is motivated from a collaboration with a start-up delivering on-demand health care services. In this setting, nurse practitioners need to be dynamically routed to patients' houses as service requests are received. We solve this problem using approximate dynamic programming and machine...
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We have developed a non-linear multi-objective model for optimal design of railway timetables. The objectives of the model are to maximize schedule reliability and minimize energy consumption, rolling stock and crew deployment. Metrics have been derived for each of these objectives. AHP is used...
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genetic algorithm (TCGA). We first compare the performances of the proposed TCGA with the optimal solution obtained by CPLEX … withthe classic genetic algorithm (GA) and the shortest processing time (SPT) rule through numerical experiments. The results …
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