WSC '89 Proceedings of the 21st conference on Winter simulation
Routing and scheduling in a flexible job shop by tabu search
Annals of Operations Research - Special issue on Tabu search
A fast taboo search algorithm for the job shop problem
Management Science
A heuristic for job shop scheduling to minimize total weighted tardiness
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Ant Colony Optimization
A hybrid genetic algorithm for the job shop scheduling problems
Computers and Industrial Engineering
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems
Computers and Industrial Engineering
Computers and Operations Research
Ant colony optimization combined with taboo search for the job shop scheduling problem
Computers and Operations Research
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
The SR-GCWS hybrid algorithm for solving the capacitated vehicle routing problem
Applied Soft Computing
An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems
Computers and Industrial Engineering
Machine scheduling in custom furniture industry through neuro-evolutionary hybridization
Applied Soft Computing
Flexible job shop scheduling using a multiobjective memetic algorithm
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling
Applied Soft Computing
Generic Cabling of Intelligent Buildings Based on Ant Colony Algorithm
International Journal of Software Science and Computational Intelligence
Path-relinking Tabu search for the multi-objective flexible job shop scheduling problem
Computers and Operations Research
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Flexible job shop schedule is very important in both fields of combinatorial optimization and production management. In this paper, a simulation model is presented to solve the multi-objective flexible job shop scheduling problem. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by five representative instances based on practical data. The results obtained from the computational study have shown that the proposed approach is a feasible and effective approach for the multi-objective flexible job shop scheduling problem.