Multi-criteria scheduling optimization with genetic algorithms

Authors:
Igor Bernik;Mojca Bernik
Affiliations:
Faculty of Organisational Science, University of Maribor, Kranj, Slovenia;Faculty of Organisational Science, University of Maribor, Kranj, Slovenia
Venue:
EC'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Evolutionary Computing - Volume 8
Year:
2007

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Abstract

Multi-criteria scheduling optimization with genetic algorithms is described. Scheduling optimization methodology provides the planner with a quick and efficient scheduling method and enables him/her to experiment and decide which of the suitable solutions will become the production plan. The scheduling system is composed of a business information system - a database, a discrete event simulation model and a scheduling algorithm. The purpose of the integrated system is to help operative management personnel with production scheduling and planning. By comparing various scheduling methods, we established that the system utilizing genetic algorithms and simulation yielded from 5% to 15% better scheduling within a shorter time compared to manual scheduling.