Optimising Decisions Under Uncertainty

9 April, 2010

The most current releases of optimisation solvers now allow users to incorporate uncertainty into their optimisation models, leading to much more realistic representation of real-word systems. Hearne offers a range of software with these capabilities.

What'sBest! - Excel add-in
What’sBest! can now perform multistage stochastic optimisation to maximise the expected value of an objective. It also provides a summary of results in histograms showing the distribution of the objective. More >>

Risk Solver Platform - Excel add-in
Risk Solver Platform now has stochastic and robust optimisation capabilities that allows random variables, recourse variables as well as hard and soft constraints. More>>

LINGO - Standalone tool for building and solving optimisation problems
The new stochastic programming solver supports decision making under uncertainty through multistage stochastic models and allows for recourse decisions. More>>

LINDO API - API for creating custom optimisation applications
New features allow modelling and optimisation for models with uncertain elements via multistage stochastic linear, nonlinear and integer stochastic programming (SP). More>>

Hearne also offers introductory training for beginners in optimisation using MS Excel. More>>

Free Delivery for Online Orders

For more information regarding any of these products contact Hearne Scientific Software.