Abstract Waste disposal was a significant challenge faced by the community and government. Customers buy and use goods that produce a considerable amount of waste. Waste management is a major problem since the number of consumers increased due to high waste generation. This has resulted in a huge amount of waste, which calls for enormous waste-management policies. Reduce; Reuse, Recycle, and Recover are the tools to reduce the adverse implications of retailing and manufacturing on the environment. In this paper, Artificial Intelligence based Hybridized Intelligent Framework (AIHIF) has been proposed for automated recycling to optimizing the waste management process. The system will optimize waste collection with a short distance by utilizing machine learning and graph theory. AI design technology, which helps different approaches adapted to interest groups, collecting their specific information and greatly improving environmental planning and urban management performance, accuracy, and efficiency. The experimental results show that the proposed method enhances performance and accuracy when compared to other existing methods.

中文翻译：

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使用人工智能基于减少、再利用、回收和恢复的环境规划

摘要 垃圾处理是社区和政府面临的重大挑战。客户购买和使用会产生大量废物的商品。废物管理是一个主要问题，因为由于废物产生量高，消费者数量增加。这导致了大量废物的产生，这就需要制定大量的废物管理政策。减少; 再利用、回收和回收是减少零售和制造对环境的不利影响的工具。在本文中，提出了基于人工智能的混合智能框架（AIHIF）用于自动回收以优化废物管理过程。该系统将利用机器学习和图论优化短距离垃圾收集。AI设计技术，帮助不同的方法适应不同的利益群体，收集他们的具体信息，大大提高环境规划和城市管理的绩效、准确性和效率。实验结果表明，与其他现有方法相比，所提出的方法提高了性能和准确性。