So far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is Particle Swarm Optimization (PSO). Prior some efforts by applying fuzzy logic for improving defects of PSO such as trapping in local optimums and early convergence has been done. Moreover to overcome the problem of i...

A powerful optimization method is proposed in this study for the minimal dimensional design problem of gearbox. It is a general model that is suitable to use for any series of gear drives system and can extract both dimensional and layout of components-limited optimization design together. The objective function in this study has many local extremes so for avoiding this situation, various const...

in this paper, a connecting rod was modeled and analyzed by finite element method. byusing genetic algorithm (ga) and modified cuckoo optimization algorithm (mcoa), the materialproperties and some geometrical specifications were optimized. cost function was a combination ofweight and stress. the connecting rod was under a load of 21.8 kn which obtained 360o crank angleat 5700 rev/min. the reduc...

investment casting is a versatile manufacturing process to produce high quality parts with high dimensional accuracy. the process begins with the manufacture of wax patterns. the dimensional accuracy of the model affects the quality of the finished part. the present study investigated the control and optimization of dimensional deviations in wax patterns. a mold for an h-shaped wax pattern was ...

suspension system as one of the most important key elements of vehicle has always been considered by research centres and auto makers over the world and this issue is more important on sport cars which have special sensitive working conditions and even the smallest defect can strongly affect their performances. in this study, optimization of effective handling parameters of a sport car with thr...

normal 0 false false false en-us x-none ar-sa stereolithography process limits wider applications due to low dimensional accuracy comparing with cnc. to improve accuracy and reduce part distortion, understanding the physics involved in the relationship between the setup input parameters and the part dimensional accuracy is prerequisite. in this paper, a model is proposed to find and optimize im...

In this paper, we solve a class of convex infinite-dimensional optimization problems using a numerical approximation method that does not rely on discretization. Instead, we restrict the decision variable to a sequence of finite-dimensional linear subspaces of the original infinite-dimensional space and solve the corresponding finite-dimensional problems in a efficient way using structured conv...

In this work an acoustic application is studied. The goal is to estimate the complex-valued admittance from given point measurements of the sound pressure. This parameter identification problem is formulated in terms of an infinite-dimensional optimization problem. First-and second-order optimality conditions are discussed. For the numerical realization a reduced-order model based on proper ort...

This paper presents a theoretical approach to optimal control problems (OCPs) governed by a class of control systems with discontinuous right-hand sides. A possible application of the framework developed in this paper is constituted by the conventional sliding mode dynamic processes. The general theory of constrained OCPs is used as an analytic background for designing numerically tractable sch...

The use of reflectance spectroscopy is a current area of study for the non-invasive evaluation of complex materials such as ceramic matrix composites. In order to model the reflectance, one must specify a model for the complex permittivity. In this work we compare two methods for modeling the complex permittivity of a heterogenous material. In one approach, we impose a probability distribution ...