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A class of multi-objective equilibrium chance maximization model with twofold random phenomenon and its application to hydropower station operation

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  • Xu, Jiuping
  • Tao, Zhimiao

Abstract

In this paper, a multi-objective decision-making model with birandom parameters is proposed. A birandom simulation technique is developed to tackle general birandom objective functions and birandom constraints. Combined with a birandom simulation technique, a genetic algorithm is designed for solving a birandom multi-objective decision-making problem. The proposed model and algorithm are applied to a hydropower station operation problem. The stochastic model and fuzzy programming approach are used for comparison to illustrate the usefulness of the proposed model and algorithm.

Suggested Citation

  • Xu, Jiuping & Tao, Zhimiao, 2012. "A class of multi-objective equilibrium chance maximization model with twofold random phenomenon and its application to hydropower station operation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 85(C), pages 11-33.
    • Handle: RePEc:eee:matcom:v:85:y:2012:i:c:p:11-33
    DOI: 10.1016/j.matcom.2012.09.010
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    References listed on IDEAS

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    Cited by:

    1. Min Zhou & Shasha Lu & Shukui Tan & Danping Yan & Guoliang Ou & Dianfeng Liu & Xiang Luo & Yanan Li & Lu Zhang & Zuo Zhang & Xiangbo Zhu, 2017. "A stochastic equilibrium chance-constrained programming model for municipal solid waste management of the City of Dalian, China," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 199-218, January.
    2. Xu, Jiuping & Yang, Xin & Tao, Zhimiao, 2015. "A tripartite equilibrium for carbon emission allowance allocation in the power-supply industry," Energy Policy, Elsevier, vol. 82(C), pages 62-80.

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