A dynamic and optimal shop floor design, modelling and implementation is key to achieving successful Fractal Manufacturing System (FrMS). To build adaptive and fault-tolerant fractal layout, attention is paid to issues of shop floor planning, function layout, determination of capacity level, cell composition planning and flow distances of products. A full fledged FrMS. layout is multi-functiona...

A Genetic Algorithm (GA) is general optimization technique suitable for solving nonlinear, multi-constraints, and combinatorial optimization problems. However, it may be slow in converging of failing to reach the global optimum. A novel strategy called Self-Organizing Eugenics Strategy (SOES) is proposed to overcome these shortcomings. In the proposed algorithm, a simplified adaptive resonance ...

A genetic algorithm (GA) uses the principles of evolution, natural selection, and genetics to offer a method for parallel search of complex spaces. Motivated by past work using the GA as a tool for off-line computer-aided-design of control systems, we introduce several ways to use the GA for on-line identification and controller tuning. In particular, we introduce two new, but closely related a...

The triblock 18β-glycyrrhetinic acid-poly(ethylene glycol)18β-glycyrrhetinic acid conjugates (GA-PEG-GA) based self-assembled micelles were synthesized and characterized by FTIR, NMR, transmission electron microscopy, and particle size analysis. The GA-PEG-GA conjugates having the critical micelle concentration of 6 × 10(-5) M were used to form nanosized micelles, with mean diameters of 159.21 ...

Background: Gestational diabetes (GA) is a common complication, associated with adverse prenatal outcomes and perceived stress. The effects of education on perceived stress have been widely investigated, whereas the role of self-care in GA has been less noted. Aim: to determine the effects of self-care education on perceived stress in women with GA under insulin treatment. Methods: In this rand...

Two well known optimization algorithms, the Genetic Algorithm (GA) and the Simulated Annealing Algorithm (SAA), are investigated for IIR adaptive phase equalizers. For non-convex error surfaces, gradient-based algorithms often fail to find the global optimum. This work compares the ability of the GA and the SAA to achieve the global minimum solution for multi-order all-pass adaptive filters to ...

Bottom-up growth of microscopic pillars is observed at room temperature on GaN irradiated with a Ga+ beam in a gaseous XeF2 environment. Ion bombardment produces Ga droplets which evolve into pillars, each comprised of a spherical Ga cap atop a Ga-filled, gallium fluoride tapered tube (sheath). The structures form through an interdependent, self-ordering cycle of liquid cap growth and solid she...

Ga self-diffusion in gallium phosphide ~GaP! is measured directly in isotopically controlled GaP heterostructures. Secondary ion mass spectroscopy ~SIMS! is used to monitor intermixing of Ga and Ga between isotopically pure GaP epilayers which are grown by molecular beam epitaxy ~MBE! on GaP substrates. The Ga self-diffusion coefficient in undoped GaP is determined to be D52.0 cm s exp(24.5 eV/...

A method based on neural network with Back-Propagation Algorithm (BPA) and Adaptive Smoothing Errors (ASE), and a Genetic Algorithm (GA) employing a new concept named Adaptive Relaxation (GAAR) is presented in this paper to construct learning system that can find an Adaptive Mesh points (AM) in f luid problems. AM based on reallocation scheme is implemented on different types of two steps chann...

In this paper we focus on the test selection problem. It is modeled after a real-life problem that arises in telecommunication when one has to check the reliability of an application. We apply different metaheuristics, namely Reactive Tabu Search (RTS), Genetic Algorithms (GA) and Simulated Annealing (SA) to solve the problem. We propose some modifications to the conventional schemes including ...