Automated decision-making system based on genetic algorithm in managing maintenance process
Nikishenko Aleksey, Boyko Elena, Obzherin Yuriy
MATEC Web of Conferences · 2017
doi:10.1051/matecconf/201712903010 (opens in a new tab)
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Abstract
An automated decision-making system in managing the maintenance process was developed. The problem of vector optimization was set. A genetic algorithm with domination sorting and elite selection was used to find a multitude close to the Pareto set in multi-criteria optimization.
Abstract licence: CC BY
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