`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
Nonlinear Programming with the Aid of a Multiple-Gradient Summation Technique
Journal of the ACM (JACM)
A gradient—regression search procedure for simulation experimentation
WSC '74 Proceedings of the 7th conference on Winter simulation - Volume 2
Force allocation through constrained optimization of stochastic response surfaces
WSC '92 Proceedings of the 24th conference on Winter simulation
Optimization in simulation: a survey of recent results
WSC '87 Proceedings of the 19th conference on Winter simulation
Fuzzy controlled simulation optimization
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Design and analysis of simulation experiments
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 1
Multivariate ranking and selection without reduction to a univariate problem
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 1
Techniques for simulation response optimization
Operations Research Letters
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This paper examines several procedures for optimizing simulation models having controllable input variables xi,i &equil; 1,...,n and yielding responses nj,j &equil; 1,...,m. This problem is often formulated as a constrained optimization problem, or it can be formulated in one of several multiple-objective formats, including goal programming. Whatever the mode of problem formulation, the optimization of multiple-response simulations can be approached through direct search methods, a sequence of first-order response-surface experiments, or by applying mathematical programming techniques to a set of second-order response surfaces.