scholarly journals Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling

2014 ◽  
Vol 289 ◽  
pp. 76-90 ◽  
Author(s):  
K.Z. Gao ◽  
P.N. Suganthan ◽  
Q.K. Pan ◽  
T.J. Chua ◽  
T.X. Cai ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Yanjiao Wang ◽  
Jieru Han

This paper comprehensively analyzes the characteristics of flexible job shop scheduling problem (FJSSP), takes the dynamic factors in the actual scheduling process such as the arrival and departure of jobs, the breakdown and recovery of machines into account at the same time, and establishes a new dynamic multi-objective mathematical model. Take the Squirrel Search Algorithm (SSA) as the core evolution strategy, and combine the multi-objective framework and the dynamic processing technology to solve the established mathematical model. Experimental results show that the mathematical model proposed in this paper can solve the flexible job shop scheduling problem effectively. Compared with other mathematical models, the mathematical model established in this paper can keep better balance between the efficiency and stability.


2012 ◽  
Vol 236-237 ◽  
pp. 169-174
Author(s):  
K.Z. Gao ◽  
P.N. Suganthan ◽  
T.J. Chua

Remanufacturing is a growing branch of the traditional manufacturing industry. In this study, a discrete harmony search (DHS) algorithm is proposed for thedisassembly scheduling of products in the remanufacturing engineering.Firstly, the disassembly scheduling of products is regarded as flexible job shop scheduling problem. Then, the harmony search algorithm is discretized for the disassembly scheduling problem.Finally, simulation experiments are carried out to test the proposed discrete harmony search algorithm. The results and comparisons show the effectiveness of the proposed DHS algorithm in solving the disassemblyscheduling problem in remanufacturing engineering.


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