Our research group was specially focused on designing and applying of intelligent solutions into computer integrated manufacturing systems. Our interdisciplinary researches for different manufacturing solutions have been influenced by many scientific fields: system theory, economic and technical theory, engineering, informatics, artificial intelligence (intelligent systems), mechatronics and genetic optimization methods. In this way we achieved transfer of knowledge between different scientific fields. Optimizing and modeling of demanding manufacturing processes and systems (i.e. assembly systems, robotic systems, rapid prototyping, reverse engineering, forming and cutting processes) with nondeterministic optimization methods (i.e. genetic algorithms, genetic programming, neural networks) brought us to fuse scientific fields that have been developed separately. In this way we innovatively introduced original point of view on manufacturing problems. With new modeling and optimization techniques we achieved efficient subsystems and processes control in economical-technical systems. This kind of approach to studying and solving practical problems has not been traced in scientific literature nor practice up to now. And this was the proof of suitability and efficiency of the used methods. Intelligent solutions enable rapid and flexible adjusting to unknown environment changes. A part of our research was focused on high-tech hydraulic system, where high dynamics and accuracy of hydraulic systems were developed with drastic energy savings The main research fields, with high worldwide scientific publishing impact (papers published in recognized international journals), are: - development of contemporary intelligent manufacturing systems, - development and design of strategic decision making of tool distribution in flexible manufacturing, - development of interface between data bases and optimization algorithms, - optimization of cutting processes with neural networks, - modeling and optimization of cutting parameters with genetic algorithms and genetic programming, - modeling and optimization of surface roughness with genetic algorithms and genetic programming, - evolutionary generation and optimization of NC-programs (intelligent CAD/CAM interface), - modeling of material properties with evolutionary algorithms, - modeling of intelligent assembly with evolutionary algorithms, - simulation and optimization of autonomous vehicle in manufacturing environment with evolutionary algorithms, - optimization and path planning of laser cutting with evolutionary algorithms, - forming tools costs prediction with evolutionary algorithms, - modeling and optimization of rapid prototyping and tooling, products with evolutionary algorithms, - applications of adaptive control of machine tools with neural networks, - improvements of dynamic and stationary accuracy of pressure regulators of hydraulic drives with contemporary digital regulation concepts.