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UDK: 624.057.7+625.08:69.008
DOI: n/a

Published: Građevinar 63 (2011) 8
Paper type: Subject review
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Genetic algorithms for assigning tasks to construction machine operators

Aleksandar Milajić, Dejan Beljaković, Predrag Petronijević

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
efficiency, construction machine, operator, genetic algorithm, assignment, work tasks

HOW TO CITE THIS ARTICLE:

Milajić, A., Beljaković, D., Petronijević, P.: Genetic algorithms for assigning tasks to construction machine operators, GRAĐEVINAR, 63 (2011) 8

OR:

Milajić, A., Beljaković, D., Petronijević, P. (2011). Genetic algorithms for assigning tasks to construction machine operators, GRAĐEVINAR, 63 (8)
Authors:

Aleksandar Milajić
Faculty of Construction Management, Belgrade

Dejan Beljaković
Faculty of Construction Management, Belgrade
Predrag Petronijevic WEB
Predrag Petronijević
University of Belgrade
Faculty of Civil Engineering