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A Simulation-Based Process Model Learning Approach for Dynamic Enterprise Process Optimization

  • WenAn Tan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

Dynamic enterprises process optimization (DEPO) is a multi-parametric and multi-objective system optimization problem. This paper proposes a simulation-based process model learning approach for dynamic enterprise process optimization. Some concepts such as Evolving_region, Evolving_Potential, Degenerate_region and Degenerate_limit are proposed to extend the concept of Tabu area. Tabu area extension and connection is successfully presented for realizing rapidly the domain reduction of a candidate set and speeding up global optimization. A distributed parallel optimization environment has been implemented using intelligent agents to validate the proposed approach.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • WenAn Tan
    • 1
  1. 1.School of Mathematics & Information Sci. and Engineering, Zhejiang Normal University, JinHua, Zhejiang, 321004China

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