Chabane Yahia, Bortolaso Christophe, Derras Mustapha
Berger-Levrault, France.
Stud Health Technol Inform. 2019 Aug 21;264:546-550. doi: 10.3233/SHTI190282.
Current planning approaches for home care services do not generally support the social and human dimension of planning. They focus on optimization criteria that are easily quantifiable, such as the cost. Whereas other criteria such as the quality of the relationship between caregivers and beneficiaries or the satisfaction of the latter are important too as they can highly influence the planning. To address this issue, we investigate in this work the problem of planning optimization for home care service. We propose an extension of the classical ant colony optimization algorithms. Optimization is carried out by several classic criteria such as the cost along with social-based criteria such as the relationship between caregivers and beneficiaries. We also propose a flexible and expressive language to represent the constraints in the form of predicates that can include variables, constants and functions of the problem. This allows each organisation to add its own constraints.
当前家庭护理服务的规划方法通常不支持规划中的社会和人文维度。它们侧重于易于量化的优化标准，如成本。而其他标准，如护理人员与受益人的关系质量或后者的满意度也很重要，因为它们会对规划产生很大影响。为了解决这个问题，我们在这项工作中研究家庭护理服务的规划优化问题。我们提出了经典蚁群优化算法的扩展。优化是通过几个经典标准进行的，如成本，以及基于社会的标准，如护理人员与受益人的关系。我们还提出了一种灵活且富有表现力的语言，以谓词的形式表示约束，这些谓词可以包括问题的变量、常量和函数。这允许每个组织添加自己的约束。
