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• W2135454913 abstract "Summary The Professional Staff Transportation Problem (PSTP) consists to build the vehicle routing for transporting the staff of one or several companies, in order to minimize the total cost of transport, and taking into account the level of service offered to users. In this paper, we care about the quality of service given by the professional transporter in addition to the transportation cost. The first section presents an overview of recent works on Dial-a- Ride Problem (DARP) which is a generalization of our problem. The second section is dedicated to the mathematical modeling of the (PSTP) by introducing a measure of performance corresponding to the level of service provided to users. In the third section, we present two evolutionary metaheuristics to solve the problem, namely: Ant Colony Algorithm (ACO) and Genetic Algorithm (GA). The last section of this work is devoted to experimental results." @default.
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• W2135454913 date "2009-01-01" @default.
• W2135454913 modified "2023-09-27" @default.
• W2135454913 title "Population Metaheuristics to solve the Professional Staff Transportation Problem" @default.
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