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.

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

Krajčovič, Martin, and Patrik Grznár. "Utilisation of Evolution Algorithm in Production Layout Design." Applied Computer Science 13, no. 3 (2017): 5-18.

M. Krajčovič and P. Grznár, "Utilisation of evolution algorithm in production layout design," Applied Computer Science, vol. 13, no. 3, pp. 5-18, 2017.

Krajčovič M, Grznár P. Utilisation of evolution algorithm in production layout design. Applied Computer Science. 2017;13(3):5-18.