Research on Co-Evolutionary Genetic Algorithm of Long-Distance Gas Pipelines Optimal Model Economy

Li Gang Li; Yong Shou Dai; Ji Guang Wang

doi:10.4028/www.scientific.net/AMR.383-390.7246

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Research on Co-Evolutionary Genetic Algorithm of...

Research on Co-Evolutionary Genetic Algorithm of Long-Distance Gas Pipelines Optimal Model Economy

Abstract:

Based on the analysis of the current long-distance pipeline network running conditions, an economic optimal mathematical model of the gas transmission network including compressor station is used. The natural gas pipeline network is divided into different parts, and adopting the cooperation co-evolutionary genetic algorithm, the subpopulations are created. The fitness function is established by taking advantage of the punish function. The results of the simulation show that this approach has better convergence. It is an effective method to solve the optimization problem.

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

7246-7250

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.7246

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Online since:

November 2011

Authors:

Li Gang Li, Yong Shou Dai, Ji Guang Wang

Keywords:

CCGA, Gas Pipeline, Optimization

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References

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