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基于蚁群算法的垃圾车回收路径优化问题研究

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垃圾分类是实现"碳中和","碳达峰"的重要举措之一,对我国经济的绿色发展至关重要.高校作为高等教育主战场,目前校园内的垃圾分类回收仍存在诸多问题.基于此,本文通过蚁群算法建立数学模型,采用垃圾分类回收方式,优化垃圾分类运输路径极大地减少运输距离和降低时间成本,同时针对高校垃圾分类回收问题提出具体的对策建议,以期给国内高校实施垃圾分类回收提供启发.
Research on Optimization Problem of Garbage Truck Recycling Path Based on Ant Colony Algorithm
Garbage classification is one of the important measures to realize"carbon neutralization"and"carbon peak",which is very important to the green development of China's economy.As the main battlefield of higher education,there are still many problems in garbage classification and recycling in colleges and universities.Based on this,this paper establishes a mathematical model through the ant colony algorithm,adopts the garbage classification and recycling method,optimizes the garbage classification transportation route,greatly reduces the transportation distance and time cost,and puts forward specific countermeasures and suggestions for the problem of garbage classification and recycling in universities,in order to provide inspiration for domestic universities to implement garbage classification and recycling.

garbage sorting and recyclingant colony algorithmpath optimization

余浩南、张建辉、敖甜甜、陈彬、黄方裕、方婕

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安徽工业大学,马鞍山 243000

垃圾分类回收 蚁群算法 路径优化

2025

价值工程
河北省技术经济管理现代化研究会

价值工程

影响因子:0.559
ISSN:1006-4311
年,卷(期):2025.44(2)