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.


    Access

    Download


    Export, share and cite



    Title :

    A multi-agent based cooperative approach to scheduling and routing


    Contributors:

    Publication date :

    2016-10-01


    Remarks:

    Martin , S , Ouelhadj , D , Beullens , P , Ozcan , E , Juan , A A & Burke , E K 2016 , ' A multi-agent based cooperative approach to scheduling and routing ' European Journal of Operational Research , vol 254 , no. 1 , pp. 169-178 . DOI:10.1016/j.ejor.2016.02.045



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629 / 006



    Multi-Agent Grouping and Routing with Cooperative Tasks

    Choi, Euihyeon / Ahn, Jaemyung | AIAA | 2025


    Cooperative Data Routing & Scheduling In Software Defined Vehicular Networks

    Kushan Sudheera, K. L. / Ma, Maode / Chong, Peter Han Joo | IEEE | 2018




    A Cooperative Approach to Switchbox Routing

    Tang, M. | British Library Online Contents | 2004