It primarily integrates with commercial simulation software to improve decision-making and optimization in scenarios characterized by stochastic behavior and complexity.
Like other optimization packages and SBO products, OptQuest utilizes metaheuristic algorithms.
[1][2] Among them, OptQuest uses: 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] 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.).
These include: Simulation software ProModel integrates with optimization package SimRunner, which is based on genetic algorithms.