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Study on Stochastic Programming Methods Based on Synthesizing Effect

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Artificial Intelligence and Computational Intelligence (AICI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5855))

Abstract

Stochastic programming is a well-known optimization problem in resource allocation, optimization decision etc. in this paper, by analyzing the essential characteristic of stochastic programming and the deficiencies of the existing methods, we propose the concept of synthesizing effect function for processing the objective function and constraints, and further we give an axiomatic system for synthesizing effect function. Finally, we establish a general solution model (denoted by BSE-SGM for short) based on synthesizing effect function for stochastic programming problem, and analyze the model through an example. All the results indicate that our method not only includes the existing methods for stochastic programming, but also effectively merge the decision preferences into the solution, so it can be widely used in many fields such as complicated system optimization and artificial intelligence etc.

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Author information

Authors and Affiliations

  1. School of Economics and Management, Hebei University of Science and Technology, 050018, Shijiazhuang, China

    FaChao Li & ChenXia Jin

  2. School of Science, Hebei University of Science and Technology, 050018, Shijiazhuang, China

    FaChao Li, XianLei Liu & ChenXia Jin

Authors
  1. FaChao Li
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  2. XianLei Liu
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  3. ChenXia Jin
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. College of Metrological Technology and Engineering, China Jiliang University, 310018, Hangzhou, Zhejiang Province, China

    Lanzhou Wang

  3. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China

    Fu Lee Wang

  4. College of Information Science and Technology, Hainan University, 570228, Haikou, China

    Jingsheng Lei

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© 2009 Springer-Verlag Berlin Heidelberg

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Li, F., Liu, X., Jin, C. (2009). Study on Stochastic Programming Methods Based on Synthesizing Effect. In: Deng, H., Wang, L., Wang, F.L., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2009. Lecture Notes in Computer Science(), vol 5855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05253-8_76

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  • DOI: https://doi.org/10.1007/978-3-642-05253-8_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05252-1

  • Online ISBN: 978-3-642-05253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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