OptQuest
Optimization tool to use with simulation software
From Wikipedia, the free encyclopedia
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.
| OptQuest | |
|---|---|
| Developers | OptTek Systems, Inc. |
| Initial release | 1998 |
| Type | Optimization software |
| Website | www.opttek.com/products/optquest |
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]
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:
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]
