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OptQuest
Optimization tool to use with simulation software From Wikipedia, the free encyclopedia
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OptQuest is an optimization software developed by OptTek Systems, Inc., used to tackle complex optimization problems through Simulation-based optimization (SBO). It primarily integrates with commercial simulation software to improve decision-making and optimization in scenarios characterized by stochastic behavior and complexity.
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Underlying algorithms
Like other optimization packages and SBO products, OptQuest utilizes metaheuristic algorithms.[1][2] Among them, OptQuest uses:
- Tabu search[1]
- Scatter search [1]
OptQuest, like practically all software packages for simulation-based optimization, utilizes iterative heuristics and approaches the simulation model as a black box, meaning it only interacts with the model through its input and output data.[2][3]
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Software integration
OptQuest was initially released in 1998 as a spinout of the University of Colorado Boulder to be used with Crystal Ball simulation software (Decisioneering Inc.).[4] OptQuest is frequently used as a plugin with various commercial simulation software to provide optimization capabilities (simulation-based optimization). These include:
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Alternatives
Simulation software ProModel integrates with optimization package SimRunner, which is based on genetic algorithms.[7] Witness optimizer uses tabu search and simulated annealing algorithms.[8]
See also
References
External links
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