Abstract
The Time-Dependent Team Orienteering Problem with Time Windows (TDTOPTW) is a combinatorial optimization problem defined on graphs. The goal is to find most profitable set of paths in time-dependent graphs, where travel times (weights) between vertices varies with time. Its real life applications include tourist trip planning in transport networks. The paper presents an evolutionary algorithm with local search operators solving the problem. The algorithm was tested on public transport network of Athens and clearly outperformed other published methods achieving results close to optimal in short execution times.
The research was carried out as part of the research work number WZ/WI/1/19 at the Bialystok University of Technology, financed from a subsidy provided by the Minister of Science and Higher Education.
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Ostrowski, K. (2020). An Efficient Metaheuristic for the Time-Dependent Team Orienteering Problem with Time Windows. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science(), vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_34
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