An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems

This paper is addressing a new class of on-demand transport problems oriented toward customers. A mixed-integer linear programming model is proposed with new effective constraints that contribute to enhancing the quality of service. An exact resolution has been achieved, leading to lower bounds of t...

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Veröffentlicht in:	Sustainability 2022-03, Vol.14 (5), p.3020
Hauptverfasser:	Nasri, Sonia, Bouziri, Hend, Aggoune-Mtalaa, Wassila
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer applications Computing time Constraint modelling Costs Customer services Customers Design Evolution Evolutionary algorithms Integer programming Linear programming Lower bounds Mutation Quality of service Solution space Sustainability Tabu search
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