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An optimization of the performance of the Solar Adsorption Refrigeration System unit with Genetic Algorithms (GA) is performed. A good design of the generator leads to smooth operation and better results, so more attention must be paid towards the design influence on the performance of the system, with respect to many factors that have an effect on the performance of adsorptive solar ice maker unit. These factors contain Geometrical factors, Concentration factor Operating factors and Climatic factors. Which play an essential role on the designed, constructed, tests and optimized the solar adsorption refrigeration system in order to confirm and achieve the possibility of the principles of solar adsorption refrigeration system and assess the amount of methanol percentage to the amount of activated carbon

We propose the use of Genetic Algorithms, GAs, to optimize the transient dynamic pressure response of the pressurizer in Pressurized Water Reactor, PWR. The security and safety of the systems are crucial factors and are achieved by estimating the precise dimensions of the structure and pressure within the system to monitor the transitory behavior using GA techniques. In a light water pressurized reactor, the pressurizer with a steam to light-water interface is the key part to keep the prescribed pressuretemperature balance in the primary cooling circuit by using heaters to create more steam and increase pressure or cool water spray to condensate steam and reduce pressure. Two regions thermodynamic models of transitory performance of in-surge and out-surge boilers are presented. The thermodynamic theoretical model which produces a complete impact of each variation is analyzed and estimated by GAs as function of the operating parameters that affect the pressure transients such as: design pressure, design temperatures, diameter D, total height, level of water, spray flow rate Wsp and the electrical heat total power Qh. The results were compared with foreign data which showed close agreement.