Using firefly algorithm to solve permutation flow-shop scheduling problem
应用萤火虫算法求解置换流水线问题

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.