Research On The Optimization Of High-density Block Form Design Based On Genetic Algorithm

This paper takes shenzhen bay science and technology ecological park as an example to explore the morphological design of high-density blocks under sustainable development.First through to the shenzhen bay ecological garden of science and technology in-depth research and analysis of the status quo,in-depth knowledge blocks sums up the shenzhen bay technology ecology garden block,which can be used for optimization of sorting out the optimization direction of the actual blocks are: business optimization,the vision space,landscape optimization,optimize the four optimization direction and establish the optimization evaluation system.Second through the analysis of the actual case of a lot of the same function summed up the impact block form the influence of the parameters and impact parameters reasonable scope,and then influence parameters as independent variables in the form of blocks nested into the Grasshopper parameterized platform set up shenzhen bay ecological simulation blocks the digital model of science and technology,use of carrying on the platform of multi-objective genetic algorithm(ga)plug-in WALLACEI to block 10000 times of iteration loop optimization form model,aimed at population selection mechanism,by using genetic algorithm to various aspects indexes to get the optimized configuration scheme,simulation block At last,the paper makes a detailed comparison between the computer-optimized block shape scheme and the actual block shape,and summarizes the strategies and Suggestions for the high-density block shape design under the sustainable development.