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  • 标题:Floor Layout Planning Using Artificial Intelligence Technique
  • 本地全文:下载
  • 作者:Mitali Chavan ; Nidhi Menon ; Ritika Kumar
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:4
  • 页码:5759
  • DOI:10.15680/IJIRSET.2017.0604188
  • 出版社:S&S Publications
  • 摘要:In the era of e-commerce while buying furniture online the customers obviously feel the need for visualrepresentation of the arrangement of their furniture. Even when doing interiors of the house it's difficult to just rely onassumptions about best layouts possible and professional help may become quite expensive. In this project, we makeuse of Genetic Algorithm (GA) which is an Artificial Intelligence technique to display various optimal arrangements offurniture. The basic idea behind using GA is developing an evolutionary design model. This is done by generatingchromosomes for each possible solution and then performing a crossover between them in each generation until anoptimum fitness function is reached. Modification in chromosome representation may also be done for better results.The proposed system will generate different layout designs for the furniture keeping in consideration the structure of amaster bedroom.
  • 关键词:chromosome; genetic algorithm; genetic operators; layout generation
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