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Featuring a robust object-oriented design, this software tool excels in simulation-based optimization. It comprises two primary libraries: one facilitates the dynamic creation of discrete simulation models, offering simple examples for demonstration, while the other provides a versatile framework for implementing various optimization algorithms, complete with several ready-to-use options to showcase the methodology. This comprehensive approach ensures high performance and adaptability for various optimization challenges.
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A Generic Framework for Discrete Simulation Based Optimization, Matthias Gruber
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- Released
- 2018
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- (Paperback)
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