A HYBRID GA MODEL TO SOLVE REGULAR AND BLOCK FLOW-SHOP PROBLEMS

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GHAZANFARI M.; YAGHOUBI Z.

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Journal: Scientia Iranica Year:2002 | Volume:9 | Issue:3 Page(s): 276-282

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Title

A HYBRID GA MODEL TO SOLVE REGULAR AND BLOCK FLOW-SHOP PROBLEMS

Author(s)

GHAZANFARI M. | YAGHOUBI Z. | Issue Writer Certificate

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Abstract

In this paper, a Hybrid Genetic Algorithm (HGA) model is presented to solve two kinds of flow-shop problem and minimize makespan. These problems are: Regular and block flow shop problems. The flow-shop problem studied here is shown as n/m/ F/Cmax. Genetic Algorithm (GA) technique is one of the efficient and robust techniques for solving combinatorial programming problems, which can be used either alone (Simple GA) or along with other techniques (Hybrid GA). The latter can benefit from other heuristics to reach the best solution more efficiently. The HGA model presented in this paper uses two heuristics developed already to solve the n/m/ F/Cmax problems. The Palmer and CDS heuristics are embedded in the model to generate the initial population. The model works based on elitism. The elitist strategy takes special care to preserve the best solutions and inserts them in the next generation. By analyzing the conducted experiments, it is found that the HGA is a powerful technique for solving flow shop problems. The proposed GA model outperforms the well-known heuristics, both in terms of minimizing makespan and satisfying the closeness limitation in the block problems.

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APA: Copy

GHAZANFARI, M., & YAGHOUBI, Z.. (2002). A HYBRID GA MODEL TO SOLVE REGULAR AND BLOCK FLOW-SHOP PROBLEMS. SCIENTIA IRANICA, 9(3), 276-282. SID. https://sid.ir/paper/289437/en

Vancouver: Copy

GHAZANFARI M., YAGHOUBI Z.. A HYBRID GA MODEL TO SOLVE REGULAR AND BLOCK FLOW-SHOP PROBLEMS. SCIENTIA IRANICA[Internet]. 2002;9(3):276-282. Available from: https://sid.ir/paper/289437/en

IEEE: Copy

M. GHAZANFARI, and Z. YAGHOUBI, “A HYBRID GA MODEL TO SOLVE REGULAR AND BLOCK FLOW-SHOP PROBLEMS,” SCIENTIA IRANICA, vol. 9, no. 3, pp. 276–282, 2002, [Online]. Available: https://sid.ir/paper/289437/en

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