Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/132930
Title: An improved variable neighbourhood search algorithm for selective dial-a-ride problems
Authors: Cauchi, Mark
Scerri, Kenneth
Keywords: Transportation -- Technological innovations
Urban transportation -- Technological innovations
Paratransit services -- Planning -- Data processing
Heuristic algorithms -- Data processing
Transportation engineering -- Mathematical models
Car pools
Issue Date: 2020-06
Publisher: Institute of Electrical and Electronics Engineers
Citation: Cauchi, M., & Scerri, K. (2020, June). An improved variable neighbourhood search algorithm for selective dial-a-ride problems. IEEE 20th Mediterranean Electrotechnical Conference (MELECON), Palermo. 652-657.
Abstract: Various alternative means of transportation are emerging aiming to combat traffic congestion. Among these solutions, car sharing and pooling schemes are currently gaining in popularity. Such schemes require computationally tractable algorithms for the efficient allocation of resources. Towards such an aim, the Variable Neighbourhood Search has emerged as the leading algorithmic solution. Aiming to speed up its convergence, this paper introduces two novelties to this algorithm. Results based on a realistic simulation scenario in a densely populated area demonstrate the added accuracy obtained using these novelties in a time-sensitive application.
URI: https://www.um.edu.mt/library/oar/handle/123456789/132930
Appears in Collections:Scholarly Works - FacEngESE

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