Abstract
With the advent of smaller, less expensive, and generally more effective computers, simulation models have become increasingly popular tools for solving engineering problems. More and more, engineers are turning to simulation environments in order to achieve increased system performance at a reduced cost. One such environment found to be very effective is WITNESS, a modeling program developed by AT&T and Istel. This chapter describes an effort to link a genetic algorithm with WITNESS in order to optimize a model of a manufacturing process called filament winding. Results show the genetic algorithm to be an effective, optimization tool for use with WITNESS models.
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Wilson, E., Karr, C., Messimer, S. (2001). Genetic Algorithm Optimization of a Filament Winding Process Modeled in WITNESS. In: Jain, L., De Wilde, P. (eds) Practical Applications of Computational Intelligence Techniques. International Series in Intelligent Technologies, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0678-1_7
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DOI: https://doi.org/10.1007/978-94-010-0678-1_7
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