نتایج جستجو برای: parameters optimization
تعداد نتایج: 856767 فیلتر نتایج به سال:
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
parameter estimation of the nonlinear muskingum model is a highly nonlinear optimization problem. although various techniques have been applied to optimize the coefficients of the nonlinear muskingum flood routing models, but an efficient method for this purpose in the calibration process is still lacking. the accuracy of artificial bee colony (abc) algorithm is investigated in this paper to op...
One of the key challenges in robotic bipedal locomotion is finding gait parameters that optimize a desired performance metric, such as robustness or energy efficiency. Typically, gait optimization requires extensive robot experiments and specific expert knowledge. Instead, we propose to apply data-driven machine learning to automate and speed up the process of gait optimization. In particular, ...
manufacturing process frequently employs optimization of machining parameters in order to improve product quality as well as to enhance productivity. the material removal rate is a significant indicator of the productivity and cost efficiency of the process. taguchi method has been implemented for assessing favorable (optimal) machining condition during the machining of nylon by considering thr...
For nonlinear control problems the use of bionic optimization methods has been tested and qualified. The well accepted ideas to perform robust and reliable optimization in a given space of scattering parameters and input data is expanded to control problems by re-interpreting them as minimization problems. So a wide field of solutions and the influences of the ever present scatter might be hand...
multi purpose optimization for design of circular hydrostatic axial bearings using genetic algorithm
in this paper, a multi purpose function is presented for optimum design in circular hydrostatic axial bearings. one or more parameters that are directly or indirectly dependent on given data are optimized. usually in the local optimization methods, it is not possible to optimize several parameters simultaneously. in this research, simultaneous optimization of the power loss and the oil temperat...
titanium dioxide nanocrystals were synthesized by sol-gel method at room temperature. titanium isoprophoxide and absolute ethanol were used as precursors to prepare the sol. the ph of the solution was adjusted by adding nitric acid and sodium hydroxide solution. the prepared tio2 nanocrystals were annealed at 325°c, 425°c and 525°c respectively. the effect of ph on the surface morphology and st...
india is one of the largest producers of onion in the world producing over 13,920,000 metric tons. storage is a major problem which leads to spoilage, and microbes play an important role in the spoilage. in this present study, biotechnologically important strains have been isolated from the spoiled onions by using appropriate enriched media. two potential strains were isolated and a brief compa...
a new method of optimization on linear parabolic solar collectors using exergy analysis is presented. a comprehensive mathematical modeling of thermal and optical performance is simulated and geometrical and thermodynamic parameters were assumed as optimization variables. by applying a derived expression for exergy efficiency, exergy losses were generated and the optimum design and operating co...
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