Research on Intelligent Development Path of Countryside under New Infrastructure Construction Based on Multi-Objective Optimization

Aiming at the current problems of low level of intelligent development and backward infrastructure in the countryside, this paper proposes a multi-objective optimization model for rural construction.According to the overall principle of optimization and the current situation of rural infrastructure construction, model assumptions, objective functions and constraints are determined.Facing the problem of calculating the optimal values of the four objective functions, NSGA-II method is chosen to solve and analyze the problem.NSGA-II algorithm is calculated in 100 iterations, and the optimal solutions of the four objective functions are 0.813, 0.943, 0.852, and 0.886, which are better than NSGA and GA algorithms in terms of performance.In order to improve the intelligent development of the countryside, two targeted development proposals are put forward.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127b-084
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Intelligent Development Path of Countryside under New Infrastructure Construction Based on Multi-Objective Optimization

Journal of Combinatorial Mathematics and Combinatorial Computing
Regional Development and Environment
article

Research on Intelligent Development Path of Countryside under New Infrastructure Construction Based on Multi-Objective Optimization

article en

Abstract

Aiming at the current problems of low level of intelligent development and backward infrastructure in the countryside, this paper proposes a multi-objective optimization model for rural construction.According to the overall principle of optimization and the current situation of rural infrastructure construction, model assumptions, objective functions and constraints are determined.Facing the problem of calculating the optimal values of the four objective functions, NSGA-II method is chosen to solve and analyze the problem.NSGA-II algorithm is calculated in 100 iterations, and the optimal solutions of the four objective functions are 0.813, 0.943, 0.852, and 0.886, which are better than NSGA and GA algorithms in terms of performance.In order to improve the intelligent development of the countryside, two targeted development proposals are put forward.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127b
Industry, innovation and infrastructure
Openalex Percentile: Top 90%
Regional Development and Environment
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Research on Intelligent Development Path of Countryside under New Infrastructure Construction Based on Multi-Objective Optimization · Journal of Combinatorial Mathematics and Combinatorial Computing (2025) | TGRS Research Map | TGRS