Dynamic scheduling of multi-task for hybrid flow-shop based on energy consumption

This paper presents an approach to solve dynamic scheduling of multi-task for hybrid flow-shop with the objective of minimizing the energy consumption. The idea of idle time window (ITW) is introduced, then the dynamic updating rules of the sets of ITWs are explained in detail. With the sets of ITWs...

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Bibliographic Details
Published in2009 International Conference on Information and Automation pp. 478 - 482
Main Authors Zeng Ling-Li, Zou Feng-Xing, Xu Xiao-hong, Gao Zheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Automation
Dynamic scheduling
Electric breakdown
Energy consumption
Environmental economics
Genetic algorithms
Mathematical model
Multiagent systems
Particle swarm optimization
Power generation economics
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Summary:This paper presents an approach to solve dynamic scheduling of multi-task for hybrid flow-shop with the objective of minimizing the energy consumption. The idea of idle time window (ITW) is introduced, then the dynamic updating rules of the sets of ITWs are explained in detail. With the sets of ITWs of machines as constraints, the mathematical model is proposed for dynamic scheduling of multi-task for hybrid flowshop with the objective of minimizing the energy consumption. The particle swarm optimization algorithm is employed to solve this problem. The results of simulation indicate that this approach satisfies the demand of dynamic scheduling of multitask with the objective of minimizing the energy consumption.
ISBN:9781424436071
1424436079
DOI:10.1109/ICINFA.2009.5204971