نتایج جستجو برای: keywords process optimization

تعداد نتایج: 3310172  

Journal: :Health, food & biotechnology 2022

Introduction . Keywords, reflecting the main content of article, play an extremely important role in search for scientific papers databases. Together with title and abstract, keywords provide primary information about study. Selecting extracting effective is a time-consuming process, so its optimization requires further studying. Purpose. The article aimed at acquainting authors journal methods...

2009
Nguyen Viet Ha Moonyong Lee

Constrained optimal control can be remarkably challenging to control. In this paper, optimization based approach for constrained optimal control of the integrating process is investigated through inventory control from using of the PI controller in the servo problem. The Lagrangian multiplier method is applied to find the PI parameters by solving the constrained optimal problem. The developed m...

Journal: :international journal of advanced design and manufacturing technology 0
davood taherifar sayed mohsen mohsenishakib mehdi shahabi

in this paper, an optimization method for both weight and displacement of composite blades is presented. in   order to hold issues such as aerodynamics and acoustic unchanged, airfoil shape during optimization process remained constant. to achieve the ultimate goal, only blade lamination was changed. in order to achieve minimum weight for each part of the structure, the lowest layers are foreca...

Journal: :iran agricultural research 2015
m. shahvali shahvali f. ebrahimi

abstract- agricultural extension agents should provide dry land producers with appropriate education to make them more interested in learning about water use optimization. therefore, it is recommended to accompany education with art. in this regard, a study, using the randomized experimental research design, was carried out among dry land grape producers in herayjan village, southwest iran, usi...

2015
R Gowri

The gist of the paper is to provide an insight about the various clustering using bio-inspired optimization for Protein Interaction Network. The major idea behind the clustering protein-protein interaction network is to identify dense sub-graphs that show significant functional modules in protein-protein interactions. A set of proteins that interact with each other are actors of a specific cell...

2009
K. Vidya V. Rhymend Uthariaraj

Traffic Engineering (TE) is the process of controlling how traffic flows through a network in order to facilitate efficient and reliable network operations while simultaneously optimizing network resource utilization and traffic performance. TE improves the management of data traffic within a network and provides the better utilization of network resources. Many research works considers intra a...

2014
O. Hasançebi

This paper covers application of an elitist selfadaptive step-size search (ESASS) to optimum design of steel frame structures. In the ESASS two approaches are considered for improving the convergence accuracy as well as the computational efficiency of the original technique namely the so called self-adaptive step-size search (SASS). Firstly, an additional randomness is incorporated into the sam...

Journal: :CoRR 2008
Mithun Chakraborty Deepyaman Maiti Amit Konar

The Proportional-Integral-Derivative Controller is widely used in industries for process control applications. Fractional-order PID controllers are known to outperform their integer-order counterparts. In this paper, we propose a new technique of fractional-order PID controller synthesis based on peak overshoot and rise-time specifications. Our approach is to construct an objective function, th...

Journal: :Robotica 2015
Sivaranjini Srikanthakumar Wen-Hua Chen

This paper investigates worst-case analysis of a moving obstacle avoidance algorithm for unmanned vehicles in a dynamic environment in the presence of uncertainties and variations. Automatic worst-case search algorithms are developed based on optimization techniques, illustrated by a Pioneer robot with a moving obstacle avoidance algorithm developed using the potential field method. The uncerta...

2012
Keun-Chang Kwak

This paper is concerned with an optimization of GN (Granular Networks) based on PSO (Particle Swarm Optimization) and Information granulation). The GN is designed by the linguistic model using context-based fuzzy c-means clustering algorithm performing relationship between fuzzy sets defined in the input and output space. The contexts used in this paper are based on two-sided Gaussian membershi...

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