Design System of Urban Residential Environment Based on Interactive Genetic Algorithm

• Published in: Machine Learning, Image Processing, Network Security and Data Sciences Vol. 1762; pp. 124 - 131
• Main Authors: Fan, Dandan, Qin, Haomiao
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer 2023; Springer Nature Switzerland
• Series: Communications in Computer and Information Science
• Subjects: Environmental optimization; Infrastructure; Interactive genetic algorithm; Living environment
• ISBN: 303124351X; 9783031243516
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-031-24352-3_10

Genetic interaction algorithm transforms the cognitive evaluation of the subject into scientific quantitative factors, and quantitative evaluation of the subject users by using the genetic function based on genetic algorithm. The aim of this work is to study the optimal design of the urban residential environment based on genetic interaction algorithms. This paper first uses OpenGL to create an urban residential environment model in order to evaluate the effect of the conceptual design of urban residential environment optimization using paired comparison methods. Then, we optimize the design of greening, infrastructure, air quality and sanitation in the creation of urban living environment. The experiment proved that the questionnaire survey results of 600 people showed that the residents' satisfaction with the interactive genetic algorithm scheme was much greater than the traditional scheme.