The authors describe the methodology for using genetic algorithms in solving problems of optimum assignment of tasks to construction machinery operators, aimed at achieving maximum efficiency. A special emphasis is placed on the influence of human factor (operator competence) on the efficiency of the system. The methodology for creating a genetic algorithm is described, and its use in practical problem solving is presented. The achieved results, and their sensitivity to the number of variables, is discussed.
Keywords:
Assignment / Construction machine / Efficiency / Genetic algorithm / Operator / Work tasks
TY - JOUR
AU - Milajić, A.
AU - Beljaković, D.
AU - Petronijević, Predrag
PY - 2011
UR - https://grafar.grf.bg.ac.rs/handle/123456789/373
AB - The authors describe the methodology for using genetic algorithms in solving problems of optimum assignment of tasks to construction machinery operators, aimed at achieving maximum efficiency. A special emphasis is placed on the influence of human factor (operator competence) on the efficiency of the system. The methodology for creating a genetic algorithm is described, and its use in practical problem solving is presented. The achieved results, and their sensitivity to the number of variables, is discussed.
PB - Croatian Association of Civil Engineers
T2 - Građevinar
T1 - Genetic algorithms for assigning tasks to construction machine operators
T1 - Genetski algoritmi za rasporedivanje rukovatelja gradevinskih strojeva
EP - 755
IS - 8
SP - 749
VL - 63
UR - conv_2241
ER -
@article{
author = "Milajić, A. and Beljaković, D. and Petronijević, Predrag",
year = "2011",
abstract = "The authors describe the methodology for using genetic algorithms in solving problems of optimum assignment of tasks to construction machinery operators, aimed at achieving maximum efficiency. A special emphasis is placed on the influence of human factor (operator competence) on the efficiency of the system. The methodology for creating a genetic algorithm is described, and its use in practical problem solving is presented. The achieved results, and their sensitivity to the number of variables, is discussed.",
publisher = "Croatian Association of Civil Engineers",
journal = "Građevinar",
title = "Genetic algorithms for assigning tasks to construction machine operators, Genetski algoritmi za rasporedivanje rukovatelja gradevinskih strojeva",
pages = "755-749",
number = "8",
volume = "63",
url = "conv_2241"
}
Milajić, A., Beljaković, D.,& Petronijević, P.. (2011). Genetic algorithms for assigning tasks to construction machine operators. in Građevinar
Croatian Association of Civil Engineers., 63(8), 749-755.
conv_2241
Milajić A, Beljaković D, Petronijević P. Genetic algorithms for assigning tasks to construction machine operators. in Građevinar. 2011;63(8):749-755.
conv_2241 .
Milajić, A., Beljaković, D., Petronijević, Predrag, "Genetic algorithms for assigning tasks to construction machine operators" in Građevinar, 63, no. 8 (2011):749-755,
conv_2241 .
