Optimization Design of Community Elderly Care Public Space Based on Niche Genetic Algorithm
The conventional optimization methods for community elderly care public space construction have poor correlation with the network structure of public space,and the spatial optimization effect is not satisfactory.There-fore,based on niche genetic algorithm,a community elderly care public space optimization method was designed.Based on the characteristics of diversified,multi-level,and systematic network structure,a community elderly care public space network structure is constructed.By calculating the correlation of the network structure,the current construction effect of the network structure is judged.Under the action of niche genetic algorithm,the fitness of network structure nodes is calculated to generate a community elderly care public space optimization model,thereby outputting practical and effective community elderly care public space optimization strategies.Through the above design,the design of optimization methods for community elderly care public spaces is completed.The experimental results show that compared with previous optimization methods for community elderly care public spaces,the designed community elderly care public space optimization method based on niche genetic algorithm has a space utilization rate of up to 97.82％in practical applications,and the optimization effect is better.
niche genetic algorithmcommunity elderly careelderly care public spacesoptimization methodsmethod design
NETL
NSTL
万方数据
