An investigation of agent-based hybrid approach to solve flowshop and job-shop scheduling problems

Authors:
Joanna Jędrzejowicz;Piotr Jędrzejowicz
Affiliations:
Institute of Computer Science, Gdansk University, Gdansk, Poland;Department of Information Systems, Gdynia Maritime University, Gdynia, Poland
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

The paper investigates a possibility of combining the population learning algorithm and the A-Team concept with a view to increase quality of results and efficiency of computations. To implement the idea a middleware environment called JABAT is used. The proposed approach is validated experimentally using benchmark datasets containing instances of the two well-known combinatorial optimization problems: flow shop and job shop scheduling.