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Development Of Genetic Algorithm For Solving Scheduling Tasks In Fms With Coloured Petri Nets, Liana Napalkova, Galina Merkuryeva, Miquel Angel Piera
Development Of Genetic Algorithm For Solving Scheduling Tasks In Fms With Coloured Petri Nets, Liana Napalkova, Galina Merkuryeva, Miquel Angel Piera
Liana Napalkova
The paper describes the algorithm, which is developed to solve scheduling tasks in Flexible Manufacturing Systems. The algorithm is a combination of Genetic Algorithm and Coloured Petri Nets. It is proposed to use Coloured Petri Nets to tackle the encoding problem in Genetic Algorithm. The objective is to minimize the total make-span subject to different constraints obtained in Flexible Manufacturing Systems.
Statistical Genetic Interval-Valued Type-2 Fuzzy System And Its Application, Yu Qiu
Statistical Genetic Interval-Valued Type-2 Fuzzy System And Its Application, Yu Qiu
Computer Science Theses
In recent years, the type-2 fuzzy sets theory has been used to model and minimize the effects of uncertainties in rule-base fuzzy logic system. In order to make the type-2 fuzzy logic system reasonable and reliable, a new simple and novel statistical method to decide interval-valued fuzzy membership functions and a new probability type reduced reasoning method for the interval-valued fuzzy logic system are proposed in this thesis. In order to optimize this particle system’s performance, we adopt genetic algorithm (GA) to adjust parameters. The applications for the new system are performed and results have shown that the developed method …