Title :
Application research of flow shop scheduling optimum based on genetic algorithm
Author :
He, FaJiang ; Wang, MingHong ; Wang, Yue
Author_Institution :
Coll. of Mech. Eng., Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
Flow shop scheduling optimum is an important research field in flow shop manufactures enterprise. A optimum method for parallel multi machines flow shop schedule based on genetic algorithm by hybridising and mutating operators is provided with minimum weighted absolute delay time, the optimum solution based on genetic algorithm is proved to be effective by actual example.
Keywords :
flow shop scheduling; genetic algorithms; parallel machines; delay time; flow shop manufacture enterprise; flow shop scheduling; genetic algorithm; parallel multi machine; flow shop scheduling; genetic algorithm;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641041
