What'sBest! 14 Enhancements
Release 14 of What'sBest! includes a wide range of performance enhancements and new features.
Faster Solutions on Linear Models with Improved Simplex Solver
Enhancements to the Simplex solvers boost performance on large linear models. Large models solve an average of 35% faster using primal simplex and 20% faster for dual simplex.
Improved Integer Solver with new features
A new optimization mode has been introduced to ensure reproducibility of runs.
Investigate alternative optima more quickly. Enhancements to the K-Best algorithm allow finding K best solutions in little more time than finding one solution.
Find faster solutions to models with knapsack constraints and block structures using new heuristic algorithms.
New preprocessing level tightens variable bounds for better performance on classes of nonlinear models.
Enhanced Stochastic Solver
Large linear multistage SP instances solve 60% faster with improved cut management for Nested Benders Decomposition Method.
Better handling of multistage SP models which do not have full-recourse.
Extensions to the parser allow the use of arbitrarily complex functions of stochastic parameters.
Improved Global Solver
Performance of Global solver has been dramatically improved on classes of quadratic problems. In particular, non-convex quadratic problems rejected by other solvers, or otherwise solvable only slowly to a local optimum by traditional NLP solvers. Can solve some previously intractable problems to global optimality, especially financial portfolio models with minimum buy quantities, and/or limit on number of instruments at nonzero level.
Dramatically faster, more robust performance on many linearized models using functions like @MAX( ), @MIN( ), @ABS( ), x*z where z = 0 or 1, etc. Incorporates a new bound tightening process to the linearization procedure and improves solvability of linearized model.
New Scenario Viewer
Powerful new feature to view different solution values on models with integer variables and Stochastic Programming models. On integer models you can use the Scenario Viewer to browse through alternative optima and near optimal solutions. On Stochastic Programming models you can scroll through different scenarios of the scenario tree.
Improved model validity checking and more comprehensive error messages.
New feature to summarize location of the Adjustable and Constraint cells in the workbook to ease the understanding of the model.
Added support for the Standard Deviation function STDEV.