An improved fruit fly optimization algorithm inspired from cell communication mechanism for pre-oxidation process of carbon fiber production

2014 ◽  
Author(s):  
Chuncai Xiao ◽  
Kuangrong Hao ◽  
Yongsheng Ding
Keyword(s):  
Carbon Fiber ◽  
Optimization Algorithm ◽  
Oxidation Process ◽  
Cell Communication ◽  
Fruit Fly ◽  
Fruit Fly Optimization Algorithm ◽  
Fiber Production ◽  
Fruit Fly Optimization ◽  
Communication Mechanism

scholarly journals An Improved Fruit Fly Optimization Algorithm Inspired from Cell Communication Mechanism

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Chuncai Xiao ◽  
Kuangrong Hao ◽  
Yongsheng Ding
Keyword(s):  
Carbon Fibers ◽  
Optimization Algorithm ◽  
Cell Communication ◽  
Fruit Fly ◽  
Pso Algorithm ◽  
Local Optimum ◽  
Fruit Fly Optimization Algorithm ◽  
Fruit Fly Optimization ◽  
Communication Mechanism ◽  
Evolution Stage

Fruit fly optimization algorithm (FOA) invented recently is a new swarm intelligence method based on fruit fly’s foraging behaviors and has been shown to be competitive with existing evolutionary algorithms, such as particle swarm optimization (PSO) algorithm. However, there are still some disadvantages in the FOA, such as low convergence precision, easily trapped in a local optimum value at the later evolution stage. This paper presents an improved FOA based on the cell communication mechanism (CFOA), by considering the information of the global worst, mean, and best solutions into the search strategy to improve the exploitation. The results from a set of numerical benchmark functions show that the CFOA outperforms the FOA and the PSO in most of the experiments. Further, the CFOA is applied to optimize the controller for preoxidation furnaces in carbon fibers production. Simulation results demonstrate the effectiveness of the CFOA.

Research on Enhancement Technology of Conveyor Belt Fault Images Based on Fruit Fly Optimization Algorithm

2014 ◽  
Vol 8 (1) ◽  
pp. 685-689
Author(s):  
Chunqing Ye ◽  
Changyun Miao ◽  
Xianguo Li ◽  
Yanli Yang
Keyword(s):  
Optimization Algorithm ◽  
Detection System ◽  
Fruit Fly ◽  
Conveyor Belt ◽  
Recognition Algorithm ◽  
Fruit Fly Optimization Algorithm ◽  
Fruit Fly Optimization ◽  
Wire Ropes ◽  
Fault Recognition ◽  
Steel Cord

In this research, we studied the fault recognition algorithm of steel cord conveyor belt, and obtained the wire ropes image by adopting the detection system of steel cord conveyor belt, so that the fault recognition algorithm of steel cord conveyor belt was proposed based on Fruit fly optimization algorithm. As we know that the fruit fly optimization algorithm is used for fault detection of the processing steel cord conveyor belt image and for obtaining the fault image. In the MATLAB environment, the algorithm process was designed and verified in terms of the effectiveness and accuracy. The experimental results show that with fast speed and high accuracy in detecting the fault image of steel cord conveyor belt rapidly and accurately, and in classifying scratch from fracture the proposed algorithm is suitable for the fault recognition of steel cord conveyor belt automatically.

Sign in / Sign up

Export Citation Format

Share Document