A review of simulation optimization techniques
Proceedings of the 30th conference on Winter simulation
Simulation optimization: a survey of simulation optimization techniques and procedures
Proceedings of the 32nd conference on Winter simulation
Integrating optimization and simulation: research and practice
Proceedings of the 32nd conference on Winter simulation
Proceedings of the 33nd conference on Winter simulation
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
Investigating Ontologies for Simulation Modeling
ANSS '04 Proceedings of the 37th annual symposium on Simulation
Convex Optimization
Simulation optimization: simulation optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation-based optimization: practical introduction to simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation optimization: a review, new developments, and applications
WSC '05 Proceedings of the 37th conference on Winter simulation
Interchanging discrete event simulation process interaction models using the web ontology language---owl
CODES: An Integrated Approach to Composable Modeling and Simulation
ANSS-41 '08 Proceedings of the 41st Annual Simulation Symposium (anss-41 2008)
Some topics for simulation optimization
Proceedings of the 40th Conference on Winter Simulation
Supporting interoperability using the discrete-event modeling ontology (DeMO)
Winter Simulation Conference
Using domain specific language for modeling and simulation: scalation as a case study
Proceedings of the Winter Simulation Conference
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Simulation optimization is attracting increasing research interest from the modeling and simulation community. Although there is much research on how to apply various simulation optimization techniques to solve numerous practical and research problems, researchers find that existing optimization routines are difficult to extend or integrate and often require one to develop their own optimization methods because the existing ones are problem-specific and not designed for reuse. In order to facilitate reuse of the available optimization routines and better capture the essence of different simulation optimization techniques, an ontology for simulation optimization (SoPT) is devised. SoPT includes concepts from both conventional optimization/mathematical programming and simulation optimization. Represented in ontological form, optimization routines can also be transformed into actual executable application code (e.g., targeting JSIM or ScalaTion). As illustrative examples, SoPT is being applied to real scientific computational problems.