HiveMind

HiveMind is an optimization component which is able to find the best possible solutions for optimization problems such as calibration and tuning problems. This is done without requiring comprehensive knowledge of the field of optimization. Simple and quick connectivity allows HiveMind to become a quick solution, deployable anytime, anywhere.

• Find optimal solutions for advanced multivariable problems.
• Lay constraints that must be satisfied by the optimal solution.
• Quick Connectivity to C#, MS-SQL and industrial SCADA software.
• Optimize models defined in C#, Python or by defining a mathematical expression.
• The easy to use interface allows quick optimization of both mathematical models and python code.

HiveMind implements advanced Computational and Swarm Intelligence algorithms to perform an efficient analysis of the problem to be optimized. These algorithms allow the HiveMind component to avoid local minima and maxima and search for the best global solution in the search space. Multiple constraints can be set to be met simultaneously. These algorithms simulate a virtual particle swarm, which moves through the search space defined by the optimization variables. In their movement, the particles interact with one another, sharing information regarding the various solutions found. As each particle seeks to find an optimal solution, the entire particle swarm advances toward finding an optimal solution.

HiveMind allows optimization of up to 20 variables at a single time, using different ranges and constraints regarding each one. After a problem to be optimized has been defined, it's definition (along with any solution found) can be saved to file, allowing for quick reference later. The HiveMind Interface allows easy access for these features, however, it can also be used as an independent dll in another program, called using Ms-SQL or by industrial SCADA software.

HiveMind can connect to both .Net applications, MS-SQL or industrial SCADA software. With it, you can perform quick and reliable optimizations. Perform optimizations using database knowledge, or by calling on external calculations. Once the hivemind engine has been defined for a certain problem, it can be saved to a file, with or without the solutions found. Completed analyses can be recalled from files, or re-run again using new data.

An intuitive graphical user interface helps design and solve different optimization problems.

HiveMind can be implemented with a few lines of code and does not require changes to the current software architecture or knowledge of optimization algorithms. The entire optimization procedure can be activated with only a few lines of code. The engine is packaged as a DLL component, allowing it to be easily deployed in various systems. HiveMind models may be saved as files and re-run at a later stage with minimal additional requirements for definition.

Free email help for technical questions is provided for one year from date of purchase.