Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution

2019 ◽  
Vol 11 (4) ◽  
pp. 407-422 ◽  
Author(s):  
Jing Liang ◽  
Peng Wang ◽  
Li Guo ◽  
Boyang Qu ◽  
Caitong Yue ◽  
...  
2013 ◽  
Vol 411-414 ◽  
pp. 2089-2092
Author(s):  
Yan Ping Zhou

This paper proposed an adaptive differential evolution algorithm. The algorithm has an adaptive mutation factor which can be nonlinear reduced along with evolution process. Mutation factor is declined slowly in the beginning of evolution process in order to improve the global searching ability of the algorithm, and declined rapidly in the later of evolution process. The proposed algorithm is applied to solve flow shop scheduling to minimize makespan, computational experiments on a typical scheduling benchmark shows that the algorithm has a good performance.


2009 ◽  
Vol 36 (1) ◽  
pp. 209-233 ◽  
Author(s):  
Bin Qian ◽  
Ling Wang ◽  
De-xian Huang ◽  
Wan-liang Wang ◽  
Xiong Wang

Sign in / Sign up

Export Citation Format

Share Document