Algorithms for real-time scheduling of jobs on mixed model assembly lines
Computers and Operations Research
A genetic algorithm for flowshop sequencing
Computers and Operations Research - Special issue on genetic algorithms
Computers and Industrial Engineering
On merging sequencing and scheduling theory with genetic algorithms to solve stochastic job shops
On merging sequencing and scheduling theory with genetic algorithms to solve stochastic job shops
Total flowtime in no-wait flowshops with separated setup times
Computers and Operations Research
Flowshop scheduling with limited temporary storage
Journal of the ACM (JACM)
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms
Order acceptance using genetic algorithms
Computers and Operations Research
Semi-dynamic Demand in a Non-permutation Flowshop with Constrained Resequencing Buffers
Large-Scale Scientific Computing
A decision support system for production scheduling in an ion plating cell
Expert Systems with Applications: An International Journal
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
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This paper addresses the problem of scheduling jobs for three serial stations with the last two duplicate, i.e., identical. The performance measure considered is the makespan, and a Branch and Bound and two heuristic procedures are proposed. Two dominance criteria are developed to produce the optimal schedule for the jobs sequenced so far. Extensive computational experiments reveal that the Genetic Algorithm can be used to obtain a group of effective solutions for any realistic size problem within small computation time.