Quantum Computing Optimizer

Quantum Computing Optimizer (QCOptimizer) is an implementation of Step 2 of our information design technology. It is CAE tool for modelling and optimization of complex control systems which use multiple knowledge bases and quantum generalization. - User Manual.


QCOptimizer main features are:


Screenshorts

Main program window
Main program window with model of complex control system inluding three fuzzy controllers and one quantum generalization module.

Quantum generalization module parameters
Dialog window used to set parameters of quantum generalization block.

Fuzzy knowledge base module parameters
Dialog window used to set parameters of fuzzy inference knowledge base. Table representation is shown, graphical representation is also avialable.

Fuzzyfication module parameters
Dialog window used to set parameters of fuzzification block. Membership functions can be edited either by entereing parameters in numerical form or dragging active points on graph by the mouse.

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