Title :
Scheduling for flexible flow-shop problem based on an improved genetic algorithm
Author :
Xudong Wang ; Qingyun Dai
Author_Institution :
Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
This paper analyzes the characteristics of flexible flow-shop scheduling problem, using a new coding method and an improved genetic algorithm to solve the problem. This paper solves the problem by using the genetic manipulation and elitism strategy. The experimental results have shown that the proposed algorithm is available and effective approach for the FJSP.
Keywords :
flow shop scheduling; genetic algorithms; FJSP; coding method; elitism strategy; flexible flow-shop scheduling problem; genetic manipulation; improved genetic algorithm; Encoding; Genetic algorithms; Job shop scheduling; Processor scheduling; Sociology; Statistics; Flexible flow-shop scheduling problem; coding method; improved genetic algorithm;
Conference_Titel :
Consumer Electronics - China, 2014 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICCE-China.2014.7029882
