Title :
Generating KPI sets using genetic algorithms
Author :
Plandor, David ; Landryová, Lenka
Author_Institution :
Dept. of Control Syst. & Instrum., VSB - Tech. Univ. Ostrava, Ostrava, Czech Republic
Abstract :
This article aims to design and develop an application for generating KPIs (key performance indicators) for a company using genetic algorithms. Business self-assessment results and their fitness evaluation are used.
Keywords :
economic indicators; genetic algorithms; organisational aspects; set theory; KPI set generation; business self-assessment results; company; fitness evaluation; genetic algorithms; key performance indicators; Companies; Europe; Genetic algorithms; Monitoring; Software; Wheels; KPI; SME; diagnostic tool; genetic algorithm; roulette wheel selection; selection;
Conference_Titel :
Carpathian Control Conference (ICCC), 2012 13th International
Conference_Location :
High Tatras
Print_ISBN :
978-1-4577-1867-0
DOI :
10.1109/CarpathianCC.2012.6228708
