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Stochastic Simulation Based GA Approach to Solve Chance Constrained Bilevel Programming Problems in Inexact Environment

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

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Abstract

This article presents how the genetic algorithm (GA) based stochastic simulation can be used for solving fuzzy goal programming (FGP) model of a chance constrained bilevel programming problem (BLPP). A numerical example is solved to illustrate the proposed approach.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Narula Institute of Technology, Kolkata, 700109, WB, India

    Debjani Chakraborti

  2. Department of Mathematics, University of Kalyani, Kalyani, 741235, WB, India

    Bijay Baran Pal

Authors
  1. Debjani Chakraborti
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  2. Bijay Baran Pal
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Corresponding author

Correspondence to Debjani Chakraborti .

Editor information

Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Chakraborti, D., Pal, B.B. (2015). Stochastic Simulation Based GA Approach to Solve Chance Constrained Bilevel Programming Problems in Inexact Environment. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_64

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_64

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

  • eBook Packages: EngineeringEngineering (R0)

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