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Intelligent Control and Innovative Computing pp 189–201Cite as

Harmony Search Algorithm with Various Evolutionary Elements for Fuzzy Aggregate Production Planning

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 110))

Abstract

This chapter presents an application of a fuzzy programming approach for multiple objectives to the aggregate production planning (APP). The APP parameter levels have been applied via a case study from the SMEs company in Thailand. The proposed model attempts to minimise total production cost and minimise the subcontracting units. Conventional harmony search algorithm (HSA) with its hybridisations of the novel global best harmony search (NGHSA) and the variable neighbourhood search of the HSA (VHSA) including the hunting search (HuS) element on the pitch adjustment (HuSHSA). Based on the experimental results, it can be concluded that each algorithm is suitable for different types of situations. However, for all situations VHSA and NGHSA can obtain good solutions. Furthermore, the proposed VHSA is more effective than other approaches in terms of superiority of solution and required CPU time.

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Acknowledgment

This work was supported by the National Research University Project of Thailand Office of Higher Education Commission.

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Authors and Affiliations

  1. The Industrial Statistics and Operational Research Unit (ISO-RU), Department of Industrial Engineering, Faculty of Engineering, Thammasat University, Pathumtani, 12120, Thailand

    Pasura Aungkulanon, Busaba Phruksaphanrat & Pongchanun Luangpaiboon

Authors
  1. Pasura Aungkulanon
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  2. Busaba Phruksaphanrat
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  3. Pongchanun Luangpaiboon
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Corresponding author

Correspondence to Pasura Aungkulanon .

Editor information

Editors and Affiliations

  1. International Association of Engineers, Hung To Road, Unit 1, 1/F, 37-39, Hong Kong, China

    Sio Iong Ao

  2. Computer Science, Tijuana Institute of Technology, Chula Vista, 91909, California, USA

    Oscar Castillo

  3. , Faculty of Information Sciences & Eng., University of Canberra, Canberra, 2601, Aust Capital Terr, Australia

    Xu Huang

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Aungkulanon, P., Phruksaphanrat, B., Luangpaiboon, P. (2012). Harmony Search Algorithm with Various Evolutionary Elements for Fuzzy Aggregate Production Planning. In: Ao, S., Castillo, O., Huang, X. (eds) Intelligent Control and Innovative Computing. Lecture Notes in Electrical Engineering, vol 110. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1695-1_15

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  • DOI: https://doi.org/10.1007/978-1-4614-1695-1_15

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-1694-4

  • Online ISBN: 978-1-4614-1695-1

  • eBook Packages: EngineeringEngineering (R0)

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