首页|Multi-neighborhood simulated annealing for personalized user project planning
Multi-neighborhood simulated annealing for personalized user project planning
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Elsevier
Effective decision support systems are very useful management tools in many applied domains. However, such systems are still scarce or even missing in social and medico-social establishments. This study investigates the personalized user project planning problem in French social and medico-social establishments, whose purpose is to optimize the assignment of multi-featured activities and resources to a group of residents or users subject to complex imperative constraints. We focus on the design and implementation of an innovative multi-neighborhood local optimization algorithm that serves as the key component of a decision support system for these establishments. We assess the effectiveness of the proposed approach on realistic data and show comparisons with other approaches including mathematical programming and greedy search. (c) 2022 Elsevier B.V. All rights reserved.
NSTL
Elsevier
