OptQuest

The OptQuest Engine incorporates metaheuristics to guide its search algorithm toward better solutions. This approach remembers which solutions worked well and recombines them into new, better solutions. In addition, this technique does not get trapped in local solutions or get thrown off course by noisy (uncertain) model data. The OptQuest Engine combines Tabu search, scatter search, integer programming, and neural networks into a single, composite search algorithm that provide maximum efficiency in identifying new scenarios.