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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(1): 6-9 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.377

Implementation of CSA with Clone-Mutation Mechanism to the JSSP

Yılmaz Atay and Halife Kodaz
Abstract—Job Shop scheduling problem (JSSP), which is called NP-Hard, is classified as one of the most difficult problems. Existing methods for the solution of such problems is not enough. Therefore, to solve such problems, some of the artificial intelligence techniques are used. In this study, clonal selection algorithm (CSA), which is one of artificial immune algorithms, is proposed to solve the job shop scheduling problems. In the proposed method the selection of a set of clone and mutation process of selected antibodies were carried out. This method is named after clone-mutation mechanism. The proposed method was applied on some test problems called as Ft06, La01, La03, La04 and La05. Furthermore, the application, in order to understand the effect of the mutation mechanism was executed with values ranging from 0 to 1, and the results are given in the Table VI. The results obtained are compared with the best known makespan values. As a result, the proposed method has been applied successfully in job shop scheduling problems.

Index Terms—Artificial immune systems, artificial intelligent, clonal selection algorithm, job shop scheduling problem, mutation.

The authors are with the Computer Engineering Department, Engineering Faculty, Selçuk University, Konya-Turkey (e-mail: yilmazatay@selcuk.edu.tr, hkodaz@selcuk.edu.tr).

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Cite:Yılmaz Atay and Halife Kodaz, "Implementation of CSA with Clone-Mutation Mechanism to the JSSP," International Journal of Machine Learning and Computing vol.4, no. 1, pp. 6-9, 2014.

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