Optimization design of intelligent planning management system for urban construction based on improved GA algorithm
To further implement the national green development requirements and optimize the urban construction process,an in-telligent planning model for urban green construction based on the improved fast non dominated genetic algorithm INSGA2 is pro-posed.Among them,a multi-objective integrated management model is used for engineering planning,the fuzzy measure Me method is used to construct a multi-objective equilibrium model,and genetic algorithm is used as the basic solution method for the model.The experimental results show that compared with traditional genetic algorithms,the designed INSGA2 algorithm has better optimiza-tion performance,requiring only about 60 iterations to reach the optimal state;The multi-objective integrated planning management model designed for engineering management planning can further compress the construction period while ensuring environmental pro-tection and quality requirements,saving time and costs.In summary,the designed urban green construction planning and manage-ment model can further optimize project quality while meeting the requirements of green construction,and can provide reference for actual engineering construction,with high feasibility.
green constructionmulti objective integrated managementmodel constructiongenetic algorithm
万方数据
维普
