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Cites:

Information Journal Paper

Title

NATURAL GAS SUPPLY NETWORK OPTIMIZATION USING IMPERIALISTIC COMPETITION ALGORITHM

Pages

  39-47

Abstract

 Gas supply COST MINIMIZATION by selecting the appropriate pipe diameters consid- ering the limitations of pressures in the nodes and the volume of gas flow is one of the major challenges in the oil and gas industry, which can be designed as a con- strained optimization problem. Nowadays, many approaches such as genetic al- gorithms and ant colony algorithm, which have achieved remarkable success, are proposed to solve this problem using heuristic methods. Despite the work done, yet the convergence speed and accuracy of convergence to the optimal point are con- sidered as two of the major challenges. In this paper one solution method based on imperialistic competitive algorithm is presented. Test results show that the pro- posed approach compared to GPNet software, which is used in the National Gas Company, has achieved a 20% reduction in costs and it has better performance in comparison to GENETIC ALGORITHM, which has a 12% cost reduction.

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  • Cite

    APA: Copy

    HASHEMI, S.Z., AMIRI, A., MIRMOHAMMADI, A., & BAYAT, M.. (2014). NATURAL GAS SUPPLY NETWORK OPTIMIZATION USING IMPERIALISTIC COMPETITION ALGORITHM. PETROLEUM RESEARCH, 24(78), 39-47. SID. https://sid.ir/paper/114587/en

    Vancouver: Copy

    HASHEMI S.Z., AMIRI A., MIRMOHAMMADI A., BAYAT M.. NATURAL GAS SUPPLY NETWORK OPTIMIZATION USING IMPERIALISTIC COMPETITION ALGORITHM. PETROLEUM RESEARCH[Internet]. 2014;24(78):39-47. Available from: https://sid.ir/paper/114587/en

    IEEE: Copy

    S.Z. HASHEMI, A. AMIRI, A. MIRMOHAMMADI, and M. BAYAT, “NATURAL GAS SUPPLY NETWORK OPTIMIZATION USING IMPERIALISTIC COMPETITION ALGORITHM,” PETROLEUM RESEARCH, vol. 24, no. 78, pp. 39–47, 2014, [Online]. Available: https://sid.ir/paper/114587/en

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