Job shop scheduling by simulated annealing
Operations Research
Routing and scheduling in a flexible job shop by tabu search
Annals of Operations Research - Special issue on Tabu search
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An AFSA-TSGM Based Wavelet Neural Network for Power Load Forecasting
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
A multi-objective PSO for job-shop scheduling problems
Expert Systems with Applications: An International Journal
An efficient job-shop scheduling algorithm based on particle swarm optimization
Expert Systems with Applications: An International Journal
A Multi-swarm Approach to Multi-objective Flexible Job-shop Scheduling Problems
Fundamenta Informaticae - Swarm Intelligence
An artificial immune algorithm for the flexible job-shop scheduling problem
Future Generation Computer Systems
Parallel search algorithm for geometric constraints solving
ICVR'07 Proceedings of the 2nd international conference on Virtual reality
Discrepancy search for the flexible job shop scheduling problem
Computers and Operations Research
An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems
Computers and Industrial Engineering
Multi-population interactive coevolutionary algorithm for flexible job shop scheduling problems
Computational Optimization and Applications
Modeling and evolutionary optimization on multilevel production scheduling: a case study
Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
A two-stage genetic algorithm for multi-objective job shop scheduling problems
Journal of Intelligent Manufacturing
A hybrid discrete particle swarm algorithm for open-shop problems
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Computers and Industrial Engineering
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
Flexible job shop scheduling problem by chemical-reaction optimization algorithm
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling
Applied Soft Computing
A SOMO-based approach to the operating room scheduling problem
Expert Systems with Applications: An International Journal
Computers & Mathematics with Applications
A Multi-swarm Approach to Multi-objective Flexible Job-shop Scheduling Problems
Fundamenta Informaticae - Swarm Intelligence
An efficient knowledge-based algorithm for the flexible job shop scheduling problem
Knowledge-Based Systems
A multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem
International Journal of Computer Applications in Technology
Parallel-machine scheduling to minimize tardiness penalty and power cost
Computers and Industrial Engineering
Network modeling and evolutionary optimization for scheduling in manufacturing
Journal of Intelligent Manufacturing
Dynamic parts scheduling in multiple job shop cells considering intercell moves and flexible routes
Computers and Operations Research
Genetic swarm based robust image watermarking
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
A memetic algorithm for the multi-objective flexible job shop scheduling problem
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Flexible job shop scheduling using hybrid differential evolution algorithms
Computers and Industrial Engineering
A hybrid harmony search algorithm for the flexible job shop scheduling problem
Applied Soft Computing
Note to: Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm
Journal of Intelligent Manufacturing
Path-relinking Tabu search for the multi-objective flexible job shop scheduling problem
Computers and Operations Research
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Scheduling for the flexible job-shop is very important in both fields of production management and combinatorial optimization. However, it is quite difficult to achieve an optimal solution to this problem with traditional optimization approaches owing to the high computational complexity. The combining of several optimization criteria induces additional complexity and new problems. Particle swarm optimization is an evolutionary computation technique mimicking the behavior of flying birds and their means of information exchange. It combines local search (by self experience) and global search (by neighboring experience), possessing high search efficiency. Simulated annealing (SA) as a local search algorithm employs certain probability to avoid becoming trapped in a local optimum and has been proved to be effective for a variety of situations, including scheduling and sequencing. By reasonably hybridizing these two methodologies, we develop an easily implemented hybrid approach for the multi-objective flexible job-shop scheduling problem (FJSP). The results obtained from the computational study have shown that the proposed algorithm is a viable and effective approach for the multi-objective FJSP, especially for problems on a large scale.