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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…The implementation of MTS begins with the frequency optimization procedure which determines the service frequencies and fleet sizes with the objectives of minimizing the operational cost, passengers’ waiting times at nodes and the overcrowding in the buses. A mixed integer programming models are formulated to represent the objectives. …”
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Thesis
