Restricted subset selection procedures for simulation
Operations Research
A ranking and selection project: experiences from a university-industry collaboration
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation optimization methods that combine multiple comparisons and genetic algorithms with applications in design for computer and supersaturated experiments
Simulation optimization: a review, new developments, and applications
WSC '05 Proceedings of the 37th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
Scheduling of genetic algorithms in a noisy environment
Evolutionary Computation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Some topics for simulation optimization
Proceedings of the 40th Conference on Winter Simulation
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This paper proposes an open-source algorithm for simulation optimization. The intent is to permit many who use a variety of simulation software codes to be able to apply the proposed methods using an MS Excel-Visual Basic interface. First, we review selected literature on simulation optimization and its usefulness. Then, we briefly discuss methods that are commonly used for simulation optimization. Next, we present the proposed Population Indifference Zone (PIZ) algorithm and related software code. Also, we discuss the properties of the proposed method and present the code that runs the Visual Basic program. Finally, we discuss the functionality of the Population Indifference Zone method with examples of problems to which it might be applied and conclude with topics for future research.