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A Comparison of Competitive Neural Network with Other AI Techniques in Manufacturing Cell Formation

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Advances in Natural Computation (ICNC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4221))

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Abstract

The cell formation (CF) problem aims to transform the incidence matrix into block diagonal form. Numerous techniques are developed for this purpose ranging from mathematical programming to heuristic and AI techniques. In this study a simple but effective competitive neural network algorithm (CNN) is applied and compared with genetic algorithms, tabu search, simulated annealing and ant systems by making use of some well known data sets from literature. As a result at 14 out of 15 cases, better results are obtained by CNN.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Eskisehir Osmangazi University, Bademlik, Eskisehir, 26030, Turkey

    Gurkan Ozturk & A. Attila Islier

  2. Open Education Faculty No:312, Anadolu University, 26470, Eskisehir, Turkey

    Zehra Kamisli Ozturk

Authors
  1. Gurkan Ozturk
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  2. Zehra Kamisli Ozturk
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  3. A. Attila Islier
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., 710071, Xi’an, P.R. China

    Xin-bo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Ozturk, G., Ozturk, Z.K., Islier, A.A. (2006). A Comparison of Competitive Neural Network with Other AI Techniques in Manufacturing Cell Formation. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_78

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  • DOI: https://doi.org/10.1007/11881070_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45901-9

  • Online ISBN: 978-3-540-45902-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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