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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2016 Vol.6(5): 272-276 ISSN: 2010-3697
DOI: 10.7763/IJMO.2016.V6.539

On the Development of Hyper Heuristics Based Framework for Scheduling Problems in Textile Industry

Cecilia E. Nugraheni and Luciana Abednego
Abstract—Textile industry, which is one of the most prominent industries in Indonesia, faces a problem caused by the condition of machine productions. This situation leads to a need of good machine scheduling system. Generally, production processes in textile industry belong to the flow shop scheduling problems (FSSP). Many approaches/heuristics have been proposed for solving FSSP. Two of them are Palmer’s algorithm and Gupta’s algorithm. This paper investigates a method, called genetic algorithm hyper-heuristic, for combining those heuristics in order to obtain some new better heuristics. This method is then implemented in a framework.

Index Terms—Scheduling, flowshop scheduling problem (FSSP), heuristics, hyper-heuristics, genetic programming.

The authors are with the Informatics Dept., Parahyangan Catholic University, Bandung, Indonesia (e-mail: {cheni, Luciana}@unpar.ac.id).


Cite: Cecilia E. Nugraheni and Luciana Abednego, "On the Development of Hyper Heuristics Based Framework for Scheduling Problems in Textile Industry," International Journal of Modeling and Optimization vol. 6, no. 5, pp. 272-276, 2016.

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