Non-Overlapping Ratios as Fitness Function in Optimisation Spatial Layout Design

Authors

  • Fadratul Hafinaz Hassan School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia.
  • Hoo Wah Kit School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia.
  • Nik Mohamad Lokman Nik Rosni School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia.
  • Nur Dalila Aainaa Azhar School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia.

Keywords:

Spatial Layout Design, Genetic Algorithm, Optimisation, Fitness Function, Non-Overlapping,

Abstract

Arrangement of furniture inside a room can be one of many problems during concept generation stage. Finding an optimal arrangement of furniture or an optimal spatial layout design is vital to minimise a production cost. Also, an optimal spatial layout design will promote the movement of people inside the space reducing any possible injuries. Implementing optimisation algorithms will assist in finding feasible spatial layout design and generating thousands of solutions in shorter period. This paper studies the application of Genetic Algorithm in solving problems regarding spatial layout design. It basically finds the best placements for the furniture in a given space taking into consideration several constraints. Non-overlapping objects is one of the main constraints in spatial layout design requirements. Thus, using non-overlapping ratios as a fitness function could assist in evaluating the quality of the generated solutions.

References

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Published

2017-06-01

How to Cite

Hassan, F. H., Wah Kit, H., Nik Rosni, N. M. L., & Azhar, N. D. A. (2017). Non-Overlapping Ratios as Fitness Function in Optimisation Spatial Layout Design. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-5), 83–86. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2403

Issue

Vol. 9 No. 2-5: Circuit and System Advancement in Modern World IV

Section

Articles

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