%0 Journal Article
%T Using firefly algorithm to solve permutation flow-shop scheduling problem<br>应用萤火虫算法求解置换流水线问题
%A ZHOU Ji-hu
%A YE Chun-ming
%A <br>周季华
%A 叶春明
%J 计算机应用研究
%D 2013
%I 
%X In order to further study production scheduling problem, this paper proposed a novel group intelligent optimization algorithm named the firefly algorithm for PFSP. FA was a meta-heuristic approach based on the behavior of the flashing characteristics of fireflies. This paper analyzed the bionic principle and mathematical model. Tested the FA through CAR1 problem under the different disturbances by MATLAB. Compared to PSO, the results indicate that the firefly algorithm has better feasibility and validity for solving production scheduling problem.
%K 置换流水线调度问题
%K 群智能优化
%K 萤火虫算法
%K 仿生原理
%K 数学模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=51EFA6F8AD100243D05D8F309F33FA37&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=04445C1D2BDA24EE&eid=E2546871E5B846EF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10