An application of optimization-by-simulation to discrete variable systems

Authors:
Young H. Lee;Farhad Azadivar
Affiliations:
Department of Industrial and Systems Engineering, University of Illinois at Chicago, Chicago, IL;Department of Industrial and Systems Engineering, University of Illinois at Chicago, Chicago, IL
Venue:
WSC '85 Proceedings of the 17th conference on Winter simulation
Year:
1985

Citing 3
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Abstract

An algorithm is being developed for optimization of discrete variable stochastic systems that are modeled by computer simulation. The algorithm is basically a complex type search method that interacts with the simulation model. The capabilities built in the procedure allows it to take into account the stochastic nature of the responses of the simulation model and arrive at a reasonable solution with a certain level of confidence. This paper reports preliminary results obtained from this procedure which is undergoing its final stages of development. An application of this procedure to optimization of operation of a manufacturing cell is also presented.