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).
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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.
