Application of tne fish search algorithm for optimization plans of the full factor experiment

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dc.contributor.authorMuratov, V.
dc.contributor.authorKoshevoy, M.
dc.contributor.authorKostenko, O. M.
dc.contributor.authorКостенко, Олена Михайлівна
dc.date.accessioned2019-02-01T07:25:56Z
dc.date.available2019-02-01T07:25:56Z
dc.date.issued2018
dc.descriptionV. Muratov, N. Koshevoy, E. Kostenko. Application of tne fish search algorithm for optimization plans of the full factor experiment. The 9th IEEE International Conference on Dependable Systems, Services and Technologies (DESSERT’2018) (May 24-27, 2018 Kyiv, Ukraine). P. 504–507.uk_UA
dc.description.abstractA method and program was developed to optimize the plans for a full factorial experiment using the search algorithm for fish. A comparative analysis of methods for the synthesis of optimal full-scale experiment experiments for cost and time costs has been carried out. The efficiency of the method was tested on a number of such technological objects: fuel consumption in the internal combustion engine, welding of thin plates, production of parts by hot stamping, and also the process of servicing machines with numerical control. The effectiveness of the method of searching for fish by the school is shown.uk_UA
dc.identifier.isbn978-1-5386-5902-1
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/1839
dc.language.isoenuk_UA
dc.publisherIEEE Operations Center 445 Hoes Lane,P.O. Box 1331, Piscataway, NJ 08855-1331 USAuk_UA
dc.subjectmethoduk_UA
dc.subjectalgorithmuk_UA
dc.subjectoptimal planuk_UA
dc.subjectsearch by school of fishuk_UA
dc.subjectoptimizationuk_UA
dc.subjectexperiment planninguk_UA
dc.subjectcostuk_UA
dc.subjecttimeuk_UA
dc.subjectwinuk_UA
dc.titleApplication of tne fish search algorithm for optimization plans of the full factor experimentuk_UA
dc.typeArticleuk_UA
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