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- W2022384965 abstract "The objective of this paper is to present some computational insights based on previous extensive research experiences on the optimal bus transit route network design problem (BTRNDP) with zonal demand aggregation and variable transit demand. A multi-objective, nonlinear mixed integer model is developed. A general meta-heuristics-based solution methodology is proposed. Genetic algorithms (GA), simulated annealing (SA), and a combination of the GA and SA are implemented and compared to solve the BTRNDP. Computational results show that zonal demand aggregation is necessary and combining metaheuristic algorithms to solve the large scale BTRNDP is very promising." @default.
- W2022384965 created "2016-06-24" @default.
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- W2022384965 date "2012-02-27" @default.
- W2022384965 modified "2023-09-27" @default.
- W2022384965 title "Some Computational Insights on the Optimal Bus Transit Route Network Design Problem" @default.
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- W2022384965 doi "https://doi.org/10.5399/osu/jtrf.47.3.2116" @default.
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