A dual encoding-based meta-heuristic algorithm for solving a constrained hybrid flow shop scheduling problem

2013 ◽  
Vol 64 (4) ◽  
pp. 937-958 ◽  
Author(s):  
Antonio Costa ◽  
Fulvio Antonio Cappadonna ◽  
Sergio Fichera
2012 ◽  
Vol 252 ◽  
pp. 354-359
Author(s):  
Xin Min Zhang ◽  
Meng Yue Zhang

A main-branch hybrid Flow shop scheduling problem in production manufacturing system is studied. Under the premise of JIT, targeting of smallest cost, a Flow-Shop production line scheduling model is built in cycle time of buffer. Two stages Quantum Genetic Algorithm (QGA) is proposed. By the results of numerical example, the effective and advantageous of QGA was shown.


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