![]() A second in the region of the predicted approach emor ploys a sequential sequential techniques the GASP-II these simplex optimum-seeking search, modified technique, such as gradient constraints. ![]() regression, solution, experia and mathematical to predict experi- constrained mentation optimum which is then checked by further solution. ![]() combines optimization search techniques dif- to simulation ferent ments, experimentation with constrained One approach Two basically designed approaches multiple are examined. B i l e s of Aerospace and Mechanical University of Notre Dame Notre Dame, Indiana 46556 Engineering Abstract This paper describes the application of s e q u e n t i a l - b l o c k systems. INTRODUCTION The objective t i o n i s to d e t e r m i n e of s i m u l a t i o n the optimum experimentaresponse y the input variables values, observing X atĬONSTRAINED SEQUENTIAL-BLOCK SEARCH IN SIMULATION EXPERIMENTATION Department W i l l i a m E. A comparison of the effectiveness approaches is presented. search to a c c o m m o d a t e inventory These with of are illustrated simulation with a simple system modeled language. ![]() Constrained sequential-block search in simulation experimentation Constrained sequential-block search in simulation experimentationĬONSTRAINED SEQUENTIAL-BLOCK SEARCH IN SIMULATION EXPERIMENTATION Department W i l l i a m E. ![]()
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