Investigation on biomedical waste management of hospitals using cohort intelligence algorithm

Poorva Agrawal, Gagandeep Kaur, Snehal Sagar Kolekar
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引用次数: 11

Abstract

With the innovative development of advanced technology in the field of medical, there is an enlargement in the generation of other problems such as management of biomedical waste. Hazardous waste generated from hospitals is required to be managed within time and it can be done effectively using some computer science technology. In the proposed methodology, Biomedical Waste (BMW) problem is solved with the consideration of route optimization. Route optimization is important in BMW management because while transporting the BMW from hospital to depot (disposal site) there are many types of risks associated with that route like traffic, vehicle failure, road accident etc. To avoid the dangerous effects of BMW on humans and environment, it is necessary to optimize the distance. It can help in promoting healthy and risk free life. This paper addresses the problem of finding the shortest path using Cohort Intelligence algorithm for BMW management with the consideration of human risk.

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基于队列智能算法的医院生物医学废弃物管理研究
随着医疗领域先进技术的不断创新发展,生物医学废弃物管理等其他问题的产生也在不断扩大。医院产生的危险废物需要及时管理,利用一些计算机科学技术可以有效地做到这一点。在提出的方法中,考虑路径优化来解决生物医学废物问题。路线优化在宝马管理中很重要,因为在将宝马从医院运送到仓库(处置地点)的过程中,有许多类型的风险与该路线相关,如交通、车辆故障、道路事故等。为了避免宝马对人类和环境的危险影响,有必要优化距离。它有助于促进健康和无风险的生活。本文研究了在考虑人为风险的情况下,用队列智能算法求解宝马管理中最短路径的问题。
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