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Solving Fuzzy Chance-Constrained Programming with Ant Colony Optimization-Based Algorithms and Application to Fuzzy Inventory Model

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

Abstract

An ant colony optimization algorithm is designed to solve continuous optimization models. Based on this algorithm, a hybrid intelligent algorithm combined with fuzzy simulation and neural network is introduced for solving fuzzy chance constrained models. Several numerical examples are given to show the algorithms effective. As an application, a fuzzy inventory model is established and solved with the hybrid intelligent algorithm.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yuanguo Zhu
    • 1
  1. 1.Department of Applied Mathematics, Nanjing University of Science, and Technology Nanjing, Jiangsu 210094China

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