`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
Simulating Stable Stochastic Systems, I: General Multiserver Queues
Journal of the ACM (JACM)
Simulating Stable Stochastic Systems, II: Markov Chains
Journal of the ACM (JACM)
On the optimization of performance of time-sharing systems by simulation
Communications of the ACM
Computer Simulation Applications: Discrete-Event Simulation for Synthesis and Analysis of Complex Systems
The determination of digital simulation models for continuous systems by direct-search minimization
ACM '68 Proceedings of the 1968 23rd ACM national conference
A gradient—regression search procedure for simulation experimentation
WSC '74 Proceedings of the 7th conference on Winter simulation - Volume 2
Experimental optimization of statistical simulation
WSC '74 Proceedings of the 7th conference on Winter simulation - Volume 2
Use of an external optimizing algorithm with a GPSS model
WSC '71 Proceedings of the 5th conference on Winter simulation
Finite-time behavior of two simulation optimization algorithms
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Design and analysis of simulation experiments
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 1
Simulation optimization using response surfaces based on spline approximations
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 1
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation optimization using response surfaces based on spline approximations
ACM SIGSIM Simulation Digest
Techniques for simulation response optimization
Operations Research Letters
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Management Scientists and systems analysts often wish to find the values of input variables which optimize (maximize or minimize) some function of system performance. If the system can be described analytically, mathematical programming is used to find the optimum. When systems are too complicated to be described analytically, simulation is the appropriate tool for modelling systems. Therefore, methods of optimization through simulation are quite important to the management scientist. This paper consists of a discussion and a bibliography of the optimization of simulated systems.