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Generic Evolutionary Framework for Simulating Business Processes

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U- and E-Service, Science and Technology (UNESST 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 264))

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Abstract

Business process simulation enables detail analysis of resource allocation strategies without actually deploying the processes. Although business process simulation has been widely researched in recent years, less attention has been devoted to automating the simulation of business processes with the help of evolutionary computation. In this research, we aim to implement a generic GA modeling framework which can be used to simulate different kinds of business processes. Specifically, optimum resource allocation scheme for the simulation can be effectively chosen by the evolution process of a genetic algorithm (GA). The proposed generic GA modeling framework is capable of automatically retrieving information regarding available resources, temporal constraints of the tasks, and process models from a given business process and can produce the best resource assignment scheme.

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Authors
  1. Veng-Ian Chan
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  2. Yain-Whar Si
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

  4. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  5. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  6. Hannam University, Daejeon, Korea

    Byungjoo Park

  7. Oslo University College, Norway

    Frode Eika Sandnes

  8. Sungkyunkwan University, 110-745, Seoul, Republic of Korea

    Kun Chang Lee

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© 2011 Springer-Verlag Berlin Heidelberg

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Chan, VI., Si, YW. (2011). Generic Evolutionary Framework for Simulating Business Processes. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-27210-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27209-7

  • Online ISBN: 978-3-642-27210-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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