
GPU processors cannot do everything that your CPU can do they are basically effective only for highly parallel, vector-oriented processing.
#PREMIUM SOLVER FOR EXCEL 2007 SOFTWARE#
Frontline is among the very first software vendors to use Microsoft’s new C++ AMP (Accelerated Massive Parallelism) support, introduced this month in Visual Studio 2012, to make the Evolutionary Solver faster in each of our Platform products: Risk Solver Platform, Premium Solver Platform and Solver SDK Platform. You may already have one of these devices in your desktop or laptop PC, but it's been used only for faster graphics and gaming - until now.īecause GPU cards and chips contain scores to hundreds of specialized processors for vector-oriented arithmetic, with the right kind of software, they can be used for numeric calculations. Now the Evolutionary Solver is again first to exploit massively parallel GPUs (graphics processing units such as Nvidia GeForce and AMD Radeon devices), for even faster performance in its local search algorithms. The Evolutionary Solver was one of the first tools to exploit multi-core CPUs in our V9.5 release in 2009. Evolutionary Solver Exploits Massively Parallel GPUs Both sets of methods also take advantage of classical linear, smooth nonlinear, and derivative-free optimization methods for local search. You can choose either set of methods via a new Task Pane option, and find out which methods work best on your model.
#PREMIUM SOLVER FOR EXCEL 2007 FULL#
The Evolutionary Solver now includes both a full set of genetic algorithm based methods, and a full set of methods from the literature on tabu search and scatter search (methods that form the basis of the OptQuest Solver). It has been enhanced many times over the years - but never so much as in V12.0! Our Evolutionary Solver has been very popular with users ever since it was first introduced, because it can find good solutions for Excel models that don’t satisfy the requirements of linear programming or even nonlinear optimization. Evolutionary Solver Features Both Genetic Algorithms and Tabu/Scatter Search (If you open multiple workbooks in Excel 2013, you'll see the difference right away.) There are nearly 50 new built-in computational functions in Excel 2013 - and our PSI Interpreter has been upgraded to support all of these functions.

But they also work with Excel 2013, which makes many changes in window, task pane and dialog behavior. Of course, Frontline’s Solvers V12.0 are upward compatible from the Solver included in Excel, which Frontline developed for Microsoft, and they work with Excel 2007 and Excel 2010. Upward Compatible from Excel Solver, works with Excel 2013 Next Steps: Learn more and try Risk Solver Platform V12.0Īre you interested in predictive analytics? Check out what's new in XLMiner V4.0, our powerful forecasting and data mining add-in for Excel.

Above all, we've worked to keep you ahead of the game, giving you the best software technology and algorithmic methods. In V12.0 we've continued that tradition, and we've extended our desktop Solver tools to support "solving over the network" - from Excel spreadsheets, web browsers, and even mobile phones. Our customers know that we’ve consistently enhanced the capacity, speed and range of problems Frontline Solvers can handle, helping you get better solutions, more quickly, with our very affordable tools. This allows you to model the problem in a high-level way, and try a variety of Solver engines to see which one yields the best performance on your problem.The Most Powerful and Flexible Versions of Frontline Solvers Ever

The Branch & Bound process used by the LP/Quadratic and GRG nonlinear Solvers is extended to handle "alldifferent" constraints as a native type, and the hybrid Evolutionary / Classical Solver implements these constraints using mutation and crossover operators for permutations.įield-installable Solver engines also support the "alldifferent" constraint, implementing it in different ways. (Click on the worksheet below to see it full size.)Īll Solver engines in the Premium Solver Platform supports this new type of constraint. In the Premium Solver Platform, you can model this kind of problem easily with an "alldifferent" constraint. An example is the famous Traveling Salesman Problem (TSP), where a salesman must choose the order of cities to visit so as to minimize travel time, and each city must be visited exactly once. Problems involving ordering or permutations of choices are very difficult to model using conventional constraints, even with integer variables. In the Premium Solver Platform, you can model problems that involve ordering or permutations of choices easily with an "alldifferent" constraint, which specifies that a set of variables should have integer values from 1 to N, all of them different at the solution.
