Automation and optimization

Xem 1-20 trên 159 kết quả Automation and optimization
  • other than this, automation and optimization of production engineering was attempted in various fields. okumoto et al. (2005d) optimized the block allocation on the assembly area using simulated annealing method. wibisono et al. (2007) optimized block division planning using genetic algorithm and product model. universal shipbuilding corporation (2008) developed a high performance nc printing machine, which enables fast printing irrespective of the number of characters and lines to be printed.

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  • The polymerase chain reaction (PCR) has become a íundamental tool in molecular research and clinical testing. The origins of PCR and its early evolution are described; including adaptation to RNA; thermostable polymerases, automation, improvements in speciíkity and rapid temperature cycling.

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  • T his book represents the contributions of the top researchers in the field of robotics, automation and control and will serve as a valuable tool for professionals in these interdisciplinary fields. The book consists of 25 chapters introducing both basic research and advanced developments. Topics covered include kinematics, dynamic analysis, accuracy, optimization design, modelling, simulation and control.

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  • —The paper presents the design of a Linear Quadratic Regulator (LQR) controller for an Inverted Pendulum (IP) system using The Bees Algorithm (BA) to provide optimal parameters of LQR. Inverted Pendulum is a typical highly nonlinear and unstable system and widely used as a benchmark for testing different control techniques in control theory.

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  • A comparison between passive and active suspension system using PID and LQR control technique with road disturbance as input has been made. Simulation study has been made on the active suspension system using MATLAB/SIMULINK.

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  • In the proposed IOV system, there implements a series of valuable functions including real-time emission inspection, vehicle fault alarm and disposal recommendation, automatic maintenance reservation, path to maintenance optimization, driving habits statistics. This system can greatly improve the efficiency, accuracy and instantaneous of the vehicle fault diagnostic and finally the customer satisfaction.

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  • In this paper, the roads planning in the resort are taken as an example of application in Genetic Algorithm. Modeling the problem with target function and constraint condition to satisfy the minimum construction cost (which is converged to the minimum total length of roads), the problem is solved by using Genetic Algorithm with random operation in MATLAB.

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  • In this paper, an attempt is made to tuning chemo tactic and swarming steps parameters meanwhile taking into consideration bacteria foraging optimization algorithm convergence speed and performance. The factorial designed experiment is suggested to create treatments of experiment.

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  • The aim of the research is to create the Optimal Multidimensional Model for small and medium sized companies in order to help them map out the best supply chain. The supply chain Automated Multidimensional Model is an interactive system that helps industries with automated facilities and products pick the best supply chain model for their market and commodities.

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  • The robot equations of motion are obtained from the implemented program and verified against those obtained using only Lagrange equation. The output of program for the 3 DOF robot was used to find the optimal torque using analytical optimization analysis for a given set of parameters. This procedure analysis can be used as a benchmark analysis for any optimization technique.

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  • The present paper employs an Particle Swarm Optimization (PSO) Improved via Genetic Algorithm (IPSO) based on Support Vector Machines (SVM) for efficient prediction of various stock indices. The main difference between PSO and IPSO is shown in a graph. Different indicators from the technical analysis field of study are used as input features.

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  • The optimization software Altair OptiStruct is used to optimize the design of folded plate structures. Numerical results show that the acoustic radiation power of folded plate structures can be significantly reduced by topography optimization.

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  • In this paper a new hybrid optimization algorithm, referred to as Crossbreed spiral dynamics bacterial chemotaxis algorithm (CSDBCA) is proposed to solve the optimal reactive power dispatch (ORPD) Problem. CSDBCA synergizes bacterial foraging algorithm (BFA) chemotaxis approach and spiral dynamics algorithm (SDA)

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  • This paper proposes a stochastic weight trade-off particle swarm optimization (SWT-PSO) method solving optimal power flow (OPF) problem. The proposed SWTPSO is a new improvement of PSO method using a stochastic weight trade-off for enhancing search its search ability.

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  • This paper presents an original method based on two nested realvalued genetic algorithms (NRGA), which can optimize the parameters of SVM efficiently and speed up the parameter optimization by orders of magnitude compared to the traditional methods which optimize all the parameters simultaneously.

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  • In this methodology, each component of the assembled product is considered as the particle (bird) and mutation operation is performed to generate a new assembly sequence for each iteration. To generate optimal assembly sequence, a fitness function is generated, which is based on the energy function and robot directional changes associated with assembly sequence.

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  • This paper presents a new algorithm to determine optimal operation mode of HEV to estimate the distribution of electricmechanical power. The simulation results and experience indicate the validity of the proposed algorithm. The obtained results can be applied in practice to improve qualities of HEVs in Vietnam.

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  • In view of the fact that to get the analytic solutions of the inverse kinematics of robots must meet special conditions, this paper used a general solution, simulated annealing particle swarm optimization algorithm, to obtain the optimization of inverse kinematics without any special conditions.

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  • This paper analyzes the automated negotiation process between two competitive agents in an alternating offers negotiation model. Generally speaking, the outcome of a negotiation depends on some parameters—the agents’ reservation prices, their attitude toward time and the strategies they use, etc.

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  • This paper introduces an optimal autopilot design technique based on the constrained optimization. The tracking performance is formed analytically as the design objective. The open-loop crossover frequency and the maximum demand of the actuator fin-deflection rate are introduced as analytical inequality constraints.

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