Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61419
Title: A Regional Multi-Objective Tabu Search Algorithm for a Green Heterogeneous Dial-A-Ride Problem
Contributor(s): Abedi, Mehdi (author); Chiong, Raymond  (author)orcid ; Athauda, Rukshan (author); Seidgar, Hany (author); Michalewicz, Zbigniew (author); Sturt, Andrew (author)
Publication Date: 2019
DOI: 10.1109/CEC.2019.8790003
Handle Link: https://hdl.handle.net/1959.11/61419
Abstract: 

Dial-a-ride (DAR) systems are popular nowadays in transportation services because of their affordable price and convenience. The increasing demand for DAR service has an impact on greenhouse gas emissions, but limited past studies in the relevant literature have considered this. In this paper, we present a green heterogeneous DAR problem inspired by Australian DAR service of elderly, patients and disabled individuals. The problem aims to route a fleet of heterogeneous vehicles to transport a set of users with different requirements, which include minimising the total routing cost and total CO 2 emission simultaneously. To solve the problem, a Regional Multi-Objective Tabu Search (RMOTS) algorithm is proposed, taking the decision maker's preferences of the objectives into account, and consequently concentrating on a specific area of the Pareto front. To evaluate the performance of RMOTS, it is compared with two algorithms from the literature developed for similar problems. Experimental results show that the proposed RMOTS is able to outperform these algorithms based on the performance measures considered.

Publication Type: Conference Publication
Conference Details: 2019 IEEE CEC: Congress on Evolutionary Computation (CEC) Conference, Wellington, New Zealand, 10th - 13th June, 2019
Source of Publication: 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, p. 2082-2089
Publisher: IEEE
Place of Publication: United States of America
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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