A Multiobjective Optimization Algorithm for Building Interior Design and Spatial Structure Optimization
نویسندگان
چکیده
Based on the global big data environment, people have more and requirements for interior design spatial structure of buildings, traditional has been unable to meet people’s needs, importance artificial intelligence decision-making is reasonably reflected in process building space optimization. There are a variety algorithms decision-making, neural networks, correlation coefficient analysis methods, expandable mining methods currently being continuously improved evolved, these used analyze each case then screen finally obtain optimal results, proposed multiobjective optimization constraint make research work provide new strategy development age. In Library Extremely Cold Lands, solution set quality nonadaptive verified, convergence, uniformity, extensiveness optimized, experimental analyzed, conclusion that still needs be further optimized obtained.
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ژورنال
عنوان ژورنال: Mobile Information Systems
سال: 2022
ISSN: ['1875-905X', '1574-017X']
DOI: https://doi.org/10.1155/2022/5659280