In consideration of the online measurement of the component content in rare earth countercurrent extraction separation process, the soft sensor method based on hybrid modeling was proposed to measure the rare earth co...
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In consideration of the online measurement of the component content in rare earth countercurrent extraction separation process, the soft sensor method based on hybrid modeling was proposed to measure the rare earth component content. The hybrid models were composed of the extraction equilibrium calculation model and the Radial Basis Function (RBF) Neural Network (NN) error compensation model; the parameters of compensation model were optimized by the hierarchical genetic algorithms (HGA). In addition, application experiment research of this proposed method was carried out in the rare earth separation production process of a corporation. The result shows that this method is effective and can realize online measurement for the component content of rare earth in the countercurrent extraction.
In this paper, a HGA fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binar...
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ISBN:
(纸本)0780393538
In this paper, a HGA fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binary distillation column when the disturbances enter the column in the form of the changes in feed flow rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in a decentralized control scheme to per form dual composition control. hierarchical genetic algorithms are used to derive the optimal number and shape of membership functions and fuzzy rules of a fuzzy supervisory system that adapts the parameters of the PI controllers. The real-time implementation results show the effectiveness of the proposed method.
This paper deals with the minimization of the total system cost in the PCS network using CDMA cellular system standard. The total system cost includes the installation costs of Base Stations (BSs), Base Station Contro...
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ISBN:
(纸本)0780371089
This paper deals with the minimization of the total system cost in the PCS network using CDMA cellular system standard. The total system cost includes the installation costs of Base Stations (BSs), Base Station Controllers (BSCs) and PCS Exchanges (PCXs), the weighted-distance connection costs between BSs and BSCs and between BSCs and PCXs and the hard handoff cost. Our objective is to keep each of these costs as a minimum with guaranteed service performance. However, there exists tradeoff property between these costs. Therefore, we use an efficient and effective searching technique, hierarchical genetic algorithms (HGA), which has the ability to handle multiobjective functions and various constraints and find multiple different solutions for decision making.
hierarchicalgenetic Strategy is an effective tool in solving ill posed global optimization problems. We use a contex-sensitive stochastic Lindenmayer system to describe the structure of HGS. The results of simple num...
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ISBN:
(纸本)0769517315
hierarchicalgenetic Strategy is an effective tool in solving ill posed global optimization problems. We use a contex-sensitive stochastic Lindenmayer system to describe the structure of HGS. The results of simple numerical experiments are reported. We try to use this strategy in robot motion planning.
This paper presents the recent developments in hierarchical genetic algorithms (HGAs) to speed up the optimization of aerodynamic shapes. It first introduces HGAs, a particular instance of parallel GAs based on the no...
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This paper presents the recent developments in hierarchical genetic algorithms (HGAs) to speed up the optimization of aerodynamic shapes. It first introduces HGAs, a particular instance of parallel GAs based on the notion of interconnected sub-populations evolving independently. Previous studies have shown the advantages of introducing a multi-layered hierarchical topology in parallel GAs. Such a topology allows the use of multiple models for optimization problems, and shows that it is possible to mix fast low-fidelity models for exploration and expensive high-fidelity models for exploitation. Finally, a new class of multi-objective optimizers mixing HGAs and Nash Game Theory is defined. These methods are tested for solving design optimization problems in aerodynamics. A parallel version of this approach running a cluster of PCs demonstrate the convergence speed up on an inverse nozzle problem and a high-lift problem for a multiple element airfoil. (C) 2002 Published by Elsevier Science B.V.
A kind of predictive control based on the neural network(NN) for nonlinear systems with time delay is *** off line NN model is obtained by using hierarchical genetic algorithms (HGA) to train a sequence data of inpu...
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A kind of predictive control based on the neural network(NN) for nonlinear systems with time delay is *** off line NN model is obtained by using hierarchical genetic algorithms (HGA) to train a sequence data of input and *** predictions are obtained by recursively mapping the NN *** error rectification term is introduced into a performance function that is directly optimized while on line control so that it overcomes influences of the mismatched model and disturbances,*** show the system has good dynamic responses and robustness.
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