Multi-Objective Optimization Design System for Rural Style Reconstruction Based on Pareto Evolutionary Algorithm

With the continuous development of rural construction in our country, the living standards of residents are gradually improved, and people have requirements for the quality of the houses they live in and the quality of the living environment. With the in-depth development of Pareto evolutionary algorithms, multi-objective evolutionary algorithms have introduced More and more other fields of theory. In order to solve the shortcomings of the existing research on the multi-objective optimization design system of rural style reconstruction, this paper discusses the performance index function equation of multi-objective evolutionary algorithm and the principle of rural style reconstruction, aiming at the rural style reconstruction based on Pareto evolutionary algorithm The transformation site selection and system parameter setting of the multi-objective optimal design system are briefly introduced. And the work flow design of the multi-objective optimal design system model for rural style reconstruction based on Pareto evolutionary algorithm is discussed. Finally, the application of the multi-objective optimal design system for rural style reconstruction based on Pareto evolutionary algorithm and the other three algorithms are analyzed experimentally. The experimental data shows that, the number of non-dominated solutions of the transformation scheme obtained by the Pareto evolutionary algorithm in the application test reached the number of 100 twice, and the minimum number was 97, while the minimum number of MOE, SMS and TVM was 2S, 5S and 27 respectively, so The superiority of the multi-objective optimal design system for rural style reconstruction based on Pareto evolutionary algorithm is verified.