A two-stage optimization method is presented by employing the evolutionary structural optimization (ESO) and ant colony optimization (ACO), which is called ESO-ACO method. To implement ESO-ACO, size optimization is performed using ESO, first. Then, the outcomes of ESO are employed to enhance ACO. In optimization process, the weight of double layer grid is minimized under various constraints whi...

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and cause health and environmental effects. this study investigates the optimization of the parameters affecting the advanced oxidation process fenton for improving toc removal from aqueous solution includes amoxicillin antibiotic by using taguchi experimental design. methods: in this study for evaluation the effect of factors and determination optimal conditions to removal toc by fenton proces...

this paper represents the performance of a squirrel-cage high temperature superconducting induction/ synchronous motor (hts-ism) based on nonlinear electrical equivalent circuit. the structure of the hts-ism is the same as that of the squirrel-cage type induction machine, and the secondary windings are fabricated by the use of the hts wires. it has already been shown that based on the experimen...

The main objectives of this research are, therefore, to assess the effects of process parameters and to determine their optimal levels machining of Inconel 718 super alloy. gap voltage, current, time of machining and duty factor are tuning parameters considered to be study as process input parameters. Furthermore, two important process output characteristic, have been evaluated in this research...

this paper describes optimization method that combines the plackett-burman design, a factorial design and the response surface method, which were used to optimize the medium for the production of l-asparaginase by serratia marcescens sb08. four medium factors, from out of 11 medium factors, were screened by plackett-burman design experiments and subsequent optimization process to find out the o...

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achieving optimal production cycle time for improving manufacturing processes is one of the common problems in production planning. during recent years, different approaches have been developed for solving this problem, but most of them assume that mean quality characteristic is constant over production run length and sets it on customer’s target value. however, the process mean may drift from ...