Abstract
To improve the biogas energy development structure, this paper studies the multi objective dynamic programming in its investment system. Limited resource has bandaged the ideal of investors. Variety of stages in the systems and in object function us state diversion, stage decision and overall decision constitute optimization problem. This paper establish the math-model of having disagreement of amount, and the resource allocation problem. The decision makers need to make a decision assigning the different area condition and resource to invest different scales of biogas projects under exploring constraint. Due to the lack of historical data, some coefficients are considered as fuzzy numbers according to experts’ advices. Therefore, a multi-objective dynamic optimization model with possibilistic constraints under the fuzzy environment is developed to control the pollution and realize the economic growth. Finally, a practical case is proposed to show the efficiency of the proposed model and algorithm.
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Acknowledgments
This research was supported by the National Science Foundation for Distinguished Young Scholars (Grant No. 70425005) and the Key Program of National Natural Science Foundation of China (NSFC) (Grant No. 70831005), People’s Republic of China. The writers would like to thank various people for their helpful and constructive comments and suggestions.
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Deng, Y., Sun, C. (2014). Applying Dynamic Programming Model to Biogas Investment Problem: Case Study in Sichuan. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_77
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DOI: https://doi.org/10.1007/978-3-642-55122-2_77
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