2008
DOI: 10.1016/s1007-0214(08)70103-2
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Intelligent scheduling of public traffic vehicles based on a hybrid genetic algorithm

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Cited by 19 publications
(9 citation statements)
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“…The papers [1][2][3][4][5][6][7][8][9] suggest approaches to solve the problem of train routing based on genetic algorithms. The authors in [1] proposed a genetic algorithm for routing and scheduling trains to achieve efficient and reliable travel itinerary and schedule.…”
Section: Literature Review and Defining The Problemmentioning
confidence: 99%
“…The papers [1][2][3][4][5][6][7][8][9] suggest approaches to solve the problem of train routing based on genetic algorithms. The authors in [1] proposed a genetic algorithm for routing and scheduling trains to achieve efficient and reliable travel itinerary and schedule.…”
Section: Literature Review and Defining The Problemmentioning
confidence: 99%
“…To mitigate these shortcomings, more advanced studies for diverse path problems should involve lower overall distances and emphasize saving computational time by improving model qualities with hybrid GA/Tabu [45], GA/particle swarm optimization [46], GA/fuzzy [47], GA/ time windows [48,49], SA/fuzzy [50], SA/time windows [37][38][39][40], SA/Tabu [51][52][53], and advanced evolutionary algorithms [44].…”
Section: Model Formationmentioning
confidence: 99%
“…Usually, work zones have to be established and set up for maintenance projects in order to avoid traffic interruptions in situations with some lanes closed and others still in operation (Huang, Shi 2008). In a two-lane two-way segment, one lane gets closed at a time while another continues to be used for traffic, alternating directions through the work zone and ensuring continuous traffic.…”
Section: Occupational Safety Solutions For Road Construction Casesmentioning
confidence: 99%