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Hybrid GA-based metaheuristics for production planning and scheduling optimization in intelligent flow-shop manufacturing systems

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2 Author(s)
Pavol Semanco ; Faculty of Manufacturing Technologies of Technical University of Kosice Department of Manufacturing Management, Presov, Slovakia ; Vladimir Modrak

The paper introduces a proposal of three-metaheuristic versions to optimize flow-shop problem emphasized on total flow time criterion in Intelligent Manufacturing Systems. The approach employs constructive heuristic, namely CDS, Gupta's algorithm, and Palmer's Slope Index, in conjunction with GA-based metaheuristic. The approach is tested on Reeves' benchmark set of 21 flow-shop problems range from 20 to 75 jobs and 5 to 20 machines.

Published in:

2011 15th IEEE International Conference on Intelligent Engineering Systems

Date of Conference:

23-25 June 2011