SOLVING TYPE ONE AND TYPE TWO FUZZY ASSEMBLY LINE BALANCING PROBLEMS USING GENETIC ALGORITHMS

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KHOSHLAHN F.; ZEGORDI S.H.A.D.

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Journal Paper

Paper Information

Journal: AMIRKABIR Year:2003 | Volume:14 | Issue:55-D Page(s): 910-923

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Information Journal Paper

Title

SOLVING TYPE ONE AND TYPE TWO FUZZY ASSEMBLY LINE BALANCING PROBLEMS USING GENETIC ALGORITHMS

Author(s)

KHOSHLAHN F. | ZEGORDI S.H.A.D. | Issue Writer Certificate

Keywords

FUZZY ASSEMBLY LINE BALANCING PROBLEMQ4

TRIANGULAR FUZZY NUMBERSQ4

GENETIC ALGORITLTMSQ4

Abstract

Assembly line balancing problems are important problems in production management systems. Based on the nature of systems the jobs processing time may be exact, stochastic, or fuzzy. In this article a genetic algorithm approach for both type of FUZZY ASSEMBLY LINE BALANCING PROBLEMs is introduced. The reported results and comparisons show that proposed algorithm is promising.

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APA: Copy

KHOSHLAHN, F., & ZEGORDI, S.H.A.D.. (2003). SOLVING TYPE ONE AND TYPE TWO FUZZY ASSEMBLY LINE BALANCING PROBLEMS USING GENETIC ALGORITHMS. AMIRKABIR, 14(55-D), 910-923. SID. https://sid.ir/paper/1091/en

Vancouver: Copy

KHOSHLAHN F., ZEGORDI S.H.A.D.. SOLVING TYPE ONE AND TYPE TWO FUZZY ASSEMBLY LINE BALANCING PROBLEMS USING GENETIC ALGORITHMS. AMIRKABIR[Internet]. 2003;14(55-D):910-923. Available from: https://sid.ir/paper/1091/en

IEEE: Copy

F. KHOSHLAHN, and S.H.A.D. ZEGORDI, “SOLVING TYPE ONE AND TYPE TWO FUZZY ASSEMBLY LINE BALANCING PROBLEMS USING GENETIC ALGORITHMS,” AMIRKABIR, vol. 14, no. 55-D, pp. 910–923, 2003, [Online]. Available: https://sid.ir/paper/1091/en

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