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A Hybrid Approach to Solve the Vehicle Routing Problem with Time Windows and Synchronized Visits In-Home Health Care.
Arabian Journal for Science and Engineering ( IF 2.9 ) Pub Date : 2020-08-05 , DOI: 10.1007/s13369-020-04828-5
Jalel Euchi 1, 2 , Salah Zidi 1 , Lamri Laouamer 1
Affiliation  

With technological progress in particular telemedicine and health care, the information should meet and serve as well the needs of people and in particular whom with reduced mobility, the elderly as well as people with difficulties to access to medical resources and services. These services should be achieved in a fast and reliable manner based on case priorities. One of the major challenges in health care is the routing and scheduling problem to meet people’s needs. Of course, the objective is to considerably minimize costs while respecting priorities according to cases that will face. Through this article, we propose a new technique for home healthcare routing and scheduling problem purely based on an artificial intelligence technique to optimize the offered services within a distributed environment. The automatic learning and search method seem to be interesting to optimize the allocation of visits to beneficiaries. The proposed approach has several advantages in terms of especially cost, efforts, and gaining time. A comparative study was carried out to evaluate the effectiveness of the planned technique compared to previous work.



中文翻译:

一种通过时间窗和同步访问家庭医疗保健解决车辆路线问题的混合方法。

随着技术进步,特别是远程医疗和医疗保健,信息应该满足并服务于人们的需求,特别是行动不便的人、老年人以及难以获得医疗资源和服务的人。这些服务应根据病例优先级以快速可靠的方式实现。医疗保健的主要挑战之一是满足人们需求的路线和调度问题。当然,目标是大大降低成本,同时根据将面临的情况尊重优先级。通过本文,我们提出了一种纯粹基于人工智能技术的家庭医疗保健路由和调度问题的新技术,以优化分布式环境中提供的服务。自动学习和搜索方法似乎对优化访问受益人的分配很有趣。所提出的方法在成本、努力和获得时间方面具有几个优势。进行了一项比较研究,以评估计划技术与以前工作相比的有效性。

更新日期:2020-08-06
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