Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19 [0.03%]
机器学习预测与启发式优化在新冠口罩配送中的整合应用
Xin Chen,Hong-Fang Yan,Yu-Jun Zheng et al.
Xin Chen et al.
The novel coronavirus pneumonia (COVID-19) has created huge demands for medical masks that need to be delivered to a lot of demand points to protect citizens. The efficiency of delivery is critical to the prevention and control of the epide...
A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection [0.03%]
一种新的PSO优化的时空扫描统计几何形状在疾病爆发检测中的应用
Hesam Izakian,Witold Pedrycz
Hesam Izakian
The spatial and spatio-temporal scan statistics proposed by Kulldorff have been applied to a number of geographical disease cluster detection problems. As the shape of the scanning window used in these methods is circular or elliptic, they ...
Artificial infectious disease optimization: A SEIQR epidemic dynamic model-based function optimization algorithm [0.03%]
基于SEIQR流行病动态模型的人工传染病优化算法
Guangqiu Huang
Guangqiu Huang
To solve some complicated function optimization problems, an artificial infectious disease optimization algorithm based on the SEIQR epidemic model is constructed, it is called as the SEIQR algorithm, or SEIQRA in short. The algorithm suppo...
Using Animal Instincts to Design Efficient Biomedical Studies via Particle Swarm Optimization [0.03%]
利用粒子群优化算法通过动物本能设计高效的生物医学研究
Jiaheng Qiu,Ray-Bing Chen,Weichung Wang et al.
Jiaheng Qiu et al.
Particle swarm optimization (PSO) is an increasingly popular metaheuristic algorithm for solving complex optimization problems. Its popularity is due to its repeated successes in finding an optimum or a near optimal solution for problems in...