Please use this identifier to cite or link to this item: http://dspace.pdaa.edu.ua:8080/handle/123456789/1839
Title: Application of tne fish search algorithm for optimization plans of the full factor experiment
Authors: Костенко Олена Михайлівна, Кошовий Микола Дмитрович
Муратов В.В.
Keywords: method
algorithm
optimal plan
search by school of fish
optimization
experiment planning
cost
time
win
Issue Date: 2018
Publisher: IEEE Operations Center 445 Hoes Lane,P.O. Box 1331, Piscataway, NJ 08855-1331 USA
Abstract: A 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.
Description: E. Kostenko. Application of tne fish search algorithm for optimization plans of the full factor experiment / N. Koshevoy, V. Muratov, E. Kostenko // The 9th IEEE International Conference on Dependable Systems, Services and Technologies (DESSERT’2018) (May 24-27, 2018 Kyiv, Ukraine). – p.p. 504–507
URI: http://dspace.pdaa.edu.ua:8080/handle/123456789/1839
ISBN: 978-1-5386-5902-1
Appears in Collections:Міжнародні видання



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