Knowledge worker scheduling optimization model based on bacterial foraging algorithm

2021 ◽  
Author(s):  
Yufang Dan ◽  
Jianwen Tao
Keyword(s):  
Optimization Model ◽  
Knowledge Worker ◽  
Scheduling Optimization ◽  
Model Based ◽  
Bacterial Foraging ◽  
Bacterial Foraging Algorithm

Crowd evacuation model based on bacterial foraging algorithm

2018 ◽  
Vol 29 (03) ◽  
pp. 1850027 ◽  
Author(s):  
Mu Shibiao ◽  
Chen Zhijun
Keyword(s):  
Cellular Automata ◽  
Simulation Experiments ◽  
Evacuation Time ◽  
Pedestrian Movement ◽  
Model Based ◽  
Bacterial Foraging ◽  
Optimization Function ◽  
Crowd Evacuation ◽  
Bacterial Foraging Algorithm ◽  
The Relationship

To understand crowd evacuation, a model based on a bacterial foraging algorithm (BFA) is proposed in this paper. Considering dynamic and static factors, the probability of pedestrian movement is established using cellular automata. In addition, given walking and queue times, a target optimization function is built. At the same time, a BFA is used to optimize the objective function. Finally, through real and simulation experiments, the relationship between the parameters of evacuation time, exit width, pedestrian density, and average evacuation speed is analyzed. The results show that the model can effectively describe a real evacuation.

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