Genetic algorithms for assigning tasks to construction machine operators
Genetski algoritmi za rasporedivanje rukovatelja gradevinskih strojeva
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.
Keywords:
Assignment / Construction machine / Efficiency / Genetic algorithm / Operator / Work tasksSource:
Građevinar, 2011, 63, 8, 749-755Publisher:
- Croatian Association of Civil Engineers
Collections
Institution/Community
GraFarTY - 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 - https://hdl.handle.net/21.15107/rcub_grafar_373 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 = "https://hdl.handle.net/21.15107/rcub_grafar_373" }
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. https://hdl.handle.net/21.15107/rcub_grafar_373
Milajić A, Beljaković D, Petronijević P. Genetic algorithms for assigning tasks to construction machine operators. in Građevinar. 2011;63(8):749-755. https://hdl.handle.net/21.15107/rcub_grafar_373 .
Milajić, A., Beljaković, D., Petronijević, Predrag, "Genetic algorithms for assigning tasks to construction machine operators" in Građevinar, 63, no. 8 (2011):749-755, https://hdl.handle.net/21.15107/rcub_grafar_373 .