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Title: A multi-agent based cooperative approach to scheduling and routing
Author: Ouelhadj, Djamila
Beullens, Patrick
Ozcan, Ender
Juan Pérez, Ángel Alejandro
Burke, Edmund K.
Martin, Simon
Others: University of Stirling
University of Portsmouth
University of Southampton
University of Nottingham
Queen Mary University of London
Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Keywords: cooperative search
combinatorial optimization
vehicle routing
Issue Date: 4-Mar-2016
Publisher: European Journal of Operational Research
Citation: Martin, S., Ouelhadj, D., Beullens, P., Ozcan, E., Juan Pérez, A.A. & Burke, E.K. (2016). A multi-agent based cooperative approach to scheduling and routing. European Journal of Operational Research, 254(1), 169-178. doi: 10.1016/j.ejor.2016.02.045
Project identifier: info:eu-repo/grantAgreement/EP/J017515/1
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Abstract: In this paper, we propose a general agent-based distributed framework where each agent is implementing a different metaheuristic/local search combination. Moreover, an agent continuously adapts itself during the search process using a direct cooperation protocol based on reinforcement learning and pattern matching. Good patterns that make up improving solutions are identified and shared by the agents. This agent-based system aims to provide a modular flexible framework to deal with a variety of different problem domains. We have evaluated the performance of this approach using the proposed framework which embodies a set of well known metaheuristics with different configurations as agents on two problem domains, Permutation Flow-shop Scheduling and Capacitated Vehicle Routing. The results show the success of the approach yielding three new best known results of the Capacitated Vehicle Routing benchmarks tested, whilst the results for Permutation Flow-shop Scheduling are commensurate with the best known values for all the benchmarks tested.
Language: English
ISSN: 0377-2217MIAR
Appears in Collections:Articles cientÍfics

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