QCOPTIMIZER

Our Goals - The first theoretical purpose of the Quantum & Soft Computational Intelligence is the development of the Platform background for the design of Integrated Fuzzy Intelligent Control Systems and a research release targeted at sophisticated developers for education, design and experimentation with new types of robust control systems. Quantum Computational Intelligence implements basically a hierarchical quantum strategy of decision making patterned after the soft computing applications. In the important particular case, computational complexity problems in advanced control (unsolved principally by classical algorithms) are solved. For example, the design of a global robustness of advanced control system in unpredicted control situations is achieved owing to application of on-line quantum strategy of decision making relative to quantum knowledge. In advanced control system the achievement of this result with classical random search and adaptive learning algorithms is..