An Improved Fruit Fly Optimization Algorithm Inspired from Cell Communication Mechanism for Pre-Oxidation Process of Carbon Fiber Production

摘要：

　　Fruit fly optimization algorithm(FOA)invented recently is a new swarm intelligence method based on fruit flys foraging behaviors,and has been shown to be competitive with existing evolutionary algorithms,such as particle swarm optimization(PSO).However,there are still some disadvantages in FOA,such as,low convergence precision,easily trapped in a local optimum value at the later evolution stage.Inspired by the cell communication mechanism,we propose an improved FOA(CFOA)by incorporating the information of the global worst,mean and best solution into the search strategy to improve the exploitation.The results from a set of numerical benchmark functions show that CFOA outperforms the FOA in most of the experiments.In other words,the performance of the CFOA has a reasonable performance for the testing benchmark functions.Moreover,we apply the CFOA to optimize the controller for pre-oxidation furnaces in carbon fiber production.Simulation results demonstrate the effectiveness of the CFOA.

关键词： Fruit fly optimization algorithm cell communication mechanism numerical benchmark functions pre-oxidation furnaces carbon fiber production

作者: XIAO Chuncai HAO Kuangrong DING Yongsheng

作者单位: College of Information Sciences and Technology,Donghua University,Shanghai 201620 College of Information Sciences and Technology,Donghua University,Shanghai 201620;Engineering Resear

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 9033-9038

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）