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Indoor Space Layout Optimization Method Based on Multi-objective Genetic Algorithm

Date: September 6,2023 |Hits: 379 Download PDF How to cite this paper

Peizhi Han

Shaanxi Vocational and Technical College, Xi’an, Shaanxi, China.

*Corresponding author: Peizhi Han


The purpose of self-evaluation of interior space layout is to assess and reflect on the layout and functionality of the interior space you have designed or arranged. Through self-evaluation, it is possible to find out whether the interior layout meets the needs and objectives of the design expectations and to identify any existing problems or opportunities for improvement. Based on this, in order to adapt to the fuzzy and polymorphic characteristics of the self-evaluation indexes of the indoor space layout of small flats, and to overcome the lack of scientificity and objectivity in the evaluation, this paper, on the basis of analyzing the utilization rate of the indoor effective activity space in small flats, adopts the multi-objective genetic algorithm to solve the problem of optimization of the indoor space layout of small flats and establishes the mathematical model using the example of a 17-square-meter small flat, and makes use of the improved genetic algorithm is used to optimize the indoor space layout. The results show that the multi-objective genetic algorithm can effectively solve the indoor space layout problem of small flats.


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How to cite this paper

Indoor Space Layout Optimization Method Based on Multi-objective Genetic Algorithm

How to cite this paper: Peizhi Han. (2023) Indoor Space Layout Optimization Method Based on Multi-objective Genetic Algorithm. Advances in Computer and Communication4(4), 252-259.

DOI: http://dx.doi.org/10.26855/acc.2023.08.007

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