This paper considers the optimum design of flexbeam cross-sections for a full-scale bearingless helicopter rotor, using an efficient hybrid optimization algorithm based on particle swarm optimization, and an improved genetic algorithm, with an effective constraint handling scheme for constrained nonlinear optimization. The basic operators of the genetic algorithm, of crossover and mutation, are...

The paper presents some aspects of the (gray level) image binarization methods used in artificial vision systems. It is introduced a new approach of gray level image binarization for artificial vision systems dedicated to industrial automation – temporal thresholding. In the first part of the paper are extracted some limitations of using the global optimum thresholding in gray level image binar...

We establish theoretical results concerning local optima of regularized M estimators, where both loss and penalty functions are allowed to be nonconvex. Our results show that as long as the loss satisfies restricted strong convexity and the penalty satisfies suitable regularity conditions, any local optimum of the composite objective lies within statistical precision of the true parameter vecto...

in some of the new economic growth models, we pay attention to the effects of financial development on economic growth. this research investigates the relationship between capital market and economic growth in macro level during 1991-2011. the research is organized as follows: the introduction comes as the first section. in section ii, we review the literature on the relationship between econom...

angelica essential oil (ao), a major pharmacologically active component of angelica sinensis (oliv.) diels, possesses hemogenesis, analgesic activities and sedative effect. the application of ao in pharmaceutical systems had been limited because of its low oxidative stability. the ao-loaded gelatin-chitosan microcapsules with prevention from oxidation were developed and optimized using response...

The artificial neural network (ANN) modeling of m-cresol photodegradation was carried out for determination of the optimum and importance values of the effective variables to achieve the maximum efficiency. The photodegradation was carried out in the suspension of synthesized manganese doped ZnO nanoparticles under visible-light irradiation. The input considered effective variables of the photo...

In this paper, mixed categorical structural optimization problems are investigated. The aim is to minimize the weight of a truss structure with respect cross-section areas, materials, and type. proposed methodology consists using bi-level decomposition involving two problems: master slave. problem formulated as mixed-integer linear where constraints incrementally augmented outer approximations ...

Optimal design of structures is one the goals a structural engineer. Since large number variables are involved, high computational time for optimization process main problems using single heuristic or meta-heuristic algorithms utilized this purpose, especially in large-scale structures. Cascade replaces problem with multiple stage process. Each step starts previous optimum design, being reduced...

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...