Modeling and optimizing oxygen production system using differential evolution.

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dc.contributor.authorTabassum, Muhammad Farhan
dc.contributor.authorAkram, Sana
dc.contributor.authorSaeed, Muhammad
dc.date.accessioned2018-10-15T07:23:47Z
dc.date.available2018-10-15T07:23:47Z
dc.date.issued2016
dc.description.abstractIn this article a non-linear optimization model of Oxygen production system is formulated. The production rate, pressure in storage tank, compressor power and storage tank volume are considered as the constraints of the model. The constraints in the formulated Oxygen production system model are handled by using 2-parameter-exponential penalty function. A novel optimization method based on a recently introduced Evolutionary Algorithm called Differential Evolution is described. Oxygen production system model is selected to demonstrate the capabilities and practical use of the method. The novel method is found easy to implement effectively, efficient and robust. The results obtained by this technique make it an attractive applicable approach for solving design problems in various engineering disciplines. The results are compared with previous studies also.en_US
dc.identifier.citationTabbasum, M. F., Saeed, M., Chaudhry N. A., Ali, J., & Sana, A. (2016). Modeling and optimizing oxygen production system using differential evolution. Science International (Lahore), 28(1), 1-6. (Muhammad Farhan Tabassum (Mathematics /SSC), M. Saeed, J. Ali., Sana Akram, (HEC Y CAT))en_US
dc.identifier.issn1013-5316
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/3206
dc.language.isoenen_US
dc.publisherScience Internationalen_US
dc.subjectMathematicsen_US
dc.subjectOptimization, Differential evolution, 2-parameter-exponential penalty function, Oxygen production system.en_US
dc.titleModeling and optimizing oxygen production system using differential evolution.en_US
dc.typeArticleen_US
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