in design of experiments, analysis and identifying those variables that affect the outputs are of interest. response surface methodology is a mathematical-statistical method to optimize the experiment outputs. this method tries to find the best response levels by optimizing the design variables called factors. in many engineering applications, robust design has become the most important issues....

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

in this paper the optimal design of a dissipator made of aluminium and steel and principallysubjected to shear forces and the preliminary results of the characterization tests are described.the device has been designed on the basis of an optimization procedure with the objective tomaximize the energy dissipated in the device. the response of a 3d frame equipped with thedevice and subjected to 7...

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

in this paper, the effects of roll center height of mcpherson suspension mechanism on dynamic behaviour of a vehicle is studied first and then the optimum location of roll center of this suspension system is determined for a conceptual class a vehicle. adams/car software was used for analysis of vehicle dynamic behaviour in different positions of suspension roll center, then optimization proces...

there are a lot of approximation techniques for structural optimization. among them, four outstanding approximation methods have been selected for trusses optimization. these approaches have been developed or modified by previous ones. based on these schemes, a lot of trusses have been optimized by author's program. this study shows that the abilities of the mentioned methods are not the s...

A problem facing the product development community is developing simultaneous solutions of response variables (to several properties) that depends on a number independent or sets responses. Harrington, among others, addressed this and presented desirability function with functional approach. Derringer Suich altered their approach illustrated how multiple can be transformed into convenience func...

In this article, topology optimization of two-dimensional (2D) building frames subjected to seismic loading is performed using the polygonal finite element method. Artificial ground motion accelerograms compatible with the design response spectrum of ASCE 7-16 are generated for the response history dynamic analysis needed in the optimization. The mean compliance of structure is minimized as a t...

in the present study, fe3o4 super paramagnetic nanoparticles were synthesized via co-precipitation of fe3+ and fe2+ chloride salts in the presence of ammonia solution. the product was characterized by fourier transform infrared spectroscopy (ft-ir), transmission electron microscopy (tem), and zeta–potential particle size distributing methods. the synthetic procedure of nano iron oxides were opt...

optimization is an important methodology for activities in planning and design. the transportation designers are able to introduce better projects when they can save time and cost of travel for project by optimization methods. most of the optimization problems in engineering are more complicated than they can be solved by custom optimization methods. the most common and available methods are he...