CENTRALIZED AND DECENTRALIZED OPTIMISATION TECHNIQUES FOR THE FLEXIBLE JOB SHOP SCHEDULING PROBLEM

Meriem Ennigrou, Khaled Ghédira

2005

Abstract

This paper proposes two Multi-agent approaches based on a tabu search method for solving the flexible Job Shop scheduling problem. The characteristic of the latter problem is that one or several machines can process one operation so that its processing time depends on the machine used. Such a generalization of the classical problem makes it more and more difficult to solve. The objective is to minimize the makespan or the total duration of the schedule. The proposed models are composed of three classes of agents: Job agents and Resource agents and an Interface agent. According to the location of the tabu search core, two versions have been proposed. The first one places the optimisation method only on the Interface agent whereas the second associates to each Resource agent its own optimisation process.

References

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Paper Citation


in Harvard Style

Ennigrou M. and Ghédira K. (2005). CENTRALIZED AND DECENTRALIZED OPTIMISATION TECHNIQUES FOR THE FLEXIBLE JOB SHOP SCHEDULING PROBLEM . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 972-8865-30-9, pages 31-36. DOI: 10.5220/0001176900310036


in Bibtex Style

@conference{icinco05,
author={Meriem Ennigrou and Khaled Ghédira},
title={CENTRALIZED AND DECENTRALIZED OPTIMISATION TECHNIQUES FOR THE FLEXIBLE JOB SHOP SCHEDULING PROBLEM},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2005},
pages={31-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001176900310036},
isbn={972-8865-30-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - CENTRALIZED AND DECENTRALIZED OPTIMISATION TECHNIQUES FOR THE FLEXIBLE JOB SHOP SCHEDULING PROBLEM
SN - 972-8865-30-9
AU - Ennigrou M.
AU - Ghédira K.
PY - 2005
SP - 31
EP - 36
DO - 10.5220/0001176900310036