This study investigates the effectiveness of intelligent computation applied in optimization of processing parameters and control system. In first part, multiple qualities of solar collector are optimized by applying particle swarm optimization and genetic algorithm. Together with Taguchi experiment method and response surface methodology, the proposed method uses input parameters (melt temperature, mold temperature, packing pressure, and injection speed) as search area and the outputs (ratio of power efficiency and % error of groove filling ratio) as optimized targets. In second part, together with Taguchi method and response surface methodology, particle swarm optimization and genetic algorithm were applied to find optimal qualities of organic cotton open-end spun yarn. The input parameters (feed speed, winding speed, and rotor speed) are searched to find optimal quality of strength, unevenness, imperfection/km, and hairiness. In this part artificial neural network was also applied due to variation of optimization results. In last part, together with sliding mode control, fuzzy logic was applied to control injection velocity in injection molding process. In this control method, fuzzy logic was aimed to decrease chattering phenomena caused by sliding mode and overcome variable uncertainties while sliding mode control was aimed to cover disturbances from system dynamic. The results show that with optimal combination of parameters (270 0C, 100 0C, 1040 bar, and 60 mm/s for melt temperature, mold temperature, packing pressure, and injection speed, respectively), high ratio of power efficiency and low % error of groove filling ratio were derived. For second part, with optimal combination of parameters (0.33496 m/min, 34.99 m/min, and 80,144 rpm for feed speed, winding speed, and rotor speed, respectively), high strength quality and low unevenness, imperfection/km, and hairiness were derived. The result of last part shows that fuzzy sliding mode control can follow set point profile with small error. In this part, fuzzy control not only can decrease chattering phenomena but also make the error smaller than using sliding mode control alone.

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