ACS Applied Computer Science

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UTILISATION OF EVOLUTION ALGORITHM IN PRODUCTION LAYOUT DESIGN

The need for flexibility of layout planning puts higher requirements for utilisation of layout and location problem solving methods. Classical methods, like linear programming, dynamic programming or conventional heuristics are being replaced by advanced evolutionary algorithms, which give better solutions to large-scale problems. One of these methods are also genetic algorithms. This article describes the genetic algorithm utilisation in the production layout planningunder the terms of the digital factory concept.
  • APA 6th style
Krajčovič, M., & Grznár, P. (2017). Utilisation of evolution algorithm in production layout design. Applied Computer Science, 13(3), 5-18. doi:10.23743/acs-2017-17
  • Chicago style
Krajčovič, Martin, and Patrik Grznár. "Utilisation of Evolution Algorithm in Production Layout Design." Applied Computer Science 13, no. 3 (2017): 5-18.
  • IEEE style
M. Krajčovič and P. Grznár, "Utilisation of evolution algorithm in production layout design," Applied Computer Science, vol. 13, no. 3, pp. 5-18, 2017.
  • Vancouver style
Krajčovič M, Grznár P. Utilisation of evolution algorithm in production layout design. Applied Computer Science. 2017;13(3):5-18.