Inicio  /  Algorithms  /  Vol: 17 Par: 3 (2024)  /  Artículo
ARTÍCULO
TITULO

Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique

Eugene Levner    
Vladimir Kats    
Pengyu Yan and Ada Che    

Resumen

High-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum cell performance. To address this issue, we proposed a new efficient version of the parametric PERT/CPM project management method that works in conjunction with a combinatorial subalgorithm capable of rejecting unfeasible schedules. The main result obtained is that the new fast PERT/CPM method finds optimal robust schedules for solving large size problems in strongly polynomial time, which cannot be achieved using existing algorithms.

 Artículos similares

       
 
Giorgio Lazzarinetti, Riccardo Dondi, Sara Manzoni and Italo Zoppis    
Solving combinatorial problems on complex networks represents a primary issue which, on a large scale, requires the use of heuristics and approximate algorithms. Recently, neural methods have been proposed in this context to find feasible solutions for r... ver más
Revista: Algorithms

 
Xin Liao and Khoi D. Hoang    
Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely used in multi-agent collaborative modeling. The traditional DCOP framework assumes that variables are discrete and constraint utilities are represented in tabular form... ver más
Revista: Applied Sciences

 
Zhengbao Li, Jianfeng Dai, Yuanxin Luan, Nan Sun and Libin Du    
Human marine activities are becoming increasingly frequent. The adverse marine environment has led to an increase in man overboard incidents, resulting in significant losses of life and property. After a drowning accident, the accurate location informati... ver más
Revista: Applied Sciences

 
Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu    
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti... ver más
Revista: Applied Sciences

 
Yiming Mo, Lei Wang, Wenqing Hong, Congzhen Chu, Peigen Li and Haiting Xia    
The intrusion of foreign objects on airport runways during aircraft takeoff and landing poses a significant safety threat to air transportation. Small-scale Foreign Object Debris (FOD) cannot be ruled out on time by traditional manual inspection, and the... ver más
Revista: Applied Sciences