2018
DOI: 10.1016/j.trd.2016.02.003
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Green transportation scheduling with pickup time and transport mode selections using a novel multi-objective memetic optimization approach

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Cited by 50 publications
(20 citation statements)
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“…A green transportation scheduling problem addresses [19]. They have formulated as a bi-objective mixed-integer nonlinear program and the experimental results demonstrate that the proposed approach can effectively solve the investigated problem by generating much better solutions than 3 other metaheuristic-based Pareto optimization approaches and the industrial method do.…”
Section: Related Workmentioning
confidence: 99%
“…A green transportation scheduling problem addresses [19]. They have formulated as a bi-objective mixed-integer nonlinear program and the experimental results demonstrate that the proposed approach can effectively solve the investigated problem by generating much better solutions than 3 other metaheuristic-based Pareto optimization approaches and the industrial method do.…”
Section: Related Workmentioning
confidence: 99%
“…He et al [19] discuss the development of low-carbon logistics by a case study in China. Guo et al [20] study the green transportation scheduling problem with the consideration of pickup time and transport mode selections. One of the key elements for integrating the sustainability issues into operation decisions is sustainable investment, which, however, is not considered by the majority of the above papers.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The most quoted benefit of synchromodality in the literature is the increase in both economic and environmental sustainability [14]. A smarter, more synchromodal scheduling of services will benefit sustainable freight transport [15]. This accrues partly from an expected increase in modal shift but also from the real-time planning of the transportation mode services to adapt to variabilities in the demand.…”
Section: Synchromodalitymentioning
confidence: 99%