A Computer Science-Based Study of Resource Recycling Strategies in the Process of Continuous Urbanization

Abstract

In the face of limited resources, recycling, as an advanced form of resource waste recovery and treatment, can effectively achieve the comprehensive goals of optimal utilization of resources, environmental protection, and sustainable economic development. A resource waste recycling system is established in this paper that is based on the reverse logistics system in circular logistics and takes into account the requirements of resource recycling. The MILP model of stochastic planning is established by analyzing the objective function and constraints of each parameter in the system and then using the genetic algorithm to solve the optimal scheme of resource recycling planning. Example analysis shows that the planning model proposed in this paper can design a reasonable and effective plan for resource recycling in the city, and the recycling volume of plastic bottles in City Z will reach 6.85 kilotons in 2024 after the implementation of the plan, which can bring high economic benefits to the city. The model presented in this paper takes into account as many factors in resource recycling as possible, which aids in providing an accurate scientific basis for resource recycling management decisions.