2013
DOI: 10.7763/ijmo.2013.v3.271
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Application of a Coupled Simulation-Optimization System Called AnyPLOS in a Cold Foam Production Line

Abstract: Abstract-A prototype simulation-optimization system called AnyPLOS, which couples an Artificial Neural Network (ANN) based simulation model with a genetic algorithm optimization model, is presented. AnyPLOS is designed to discover value of effective input parameters of a production line so that all required quality control tests on the output product is satisfied. First an ANN was trained and tested to provide an acceptable level of accuracy in prediction of production line outputs, and then it was coupled wit… Show more

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“…The evolutionary process of GA continues until a stopping criterion is reached. Stopping criteria consist of the maximum number of generations, time limits, and stall generations (generations with no significant improvement in the objective function value) (Jahanpour et al, 2013b).…”
Section: Model Developmentmentioning
confidence: 99%
“…The evolutionary process of GA continues until a stopping criterion is reached. Stopping criteria consist of the maximum number of generations, time limits, and stall generations (generations with no significant improvement in the objective function value) (Jahanpour et al, 2013b).…”
Section: Model Developmentmentioning
confidence: 99%