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For compact multiple-input multiple-output (MIMO) active sensing applications, the issue of how to arrange the transmit and receive antenna elements in order to obtain a sparse linear array configuration design is considered. The principle of aperture synthesis is presented and a modified genetic optimizing algorithm is used with the fitness function being constructed. At last, Numerical results are...
As one of the most popular and successful methods in industrial applications, model predictive control (MPC) has attracted increasing interest in the past two decades. However, one of open issues in this research filed is how to solve the constrained nonlinear optimization problems in MPC. From the perspective of evolutionary algorithm, this paper presents a novel population extremal optimization...
In this paper, the authors make optimization to multi-objective function of cognitive radio with the help of quantum genetic algorithm(QGA) based on clonal selection. And a clonal selection quantum (CSQ) has been put forward by quantum genetic algorithm and immune clonal selection, and the algorithm have been improved. It produces encouraging results when we apply the algorithm to the function optimization...
Robust object tracking is quite important in computer vision. In this paper, a novel tracking approach for single object which combines genetic algorithm and Kalman filter is proposed. Genetic algorithm is introduced and reasonably applied to find the tracked object in a search area. A further step called multi-blocks voting is exploited for obtaining more accurate object localization. Kalman filter...
The inverse kinematics of manipulator is of great significance to both theory and practice. The function of the approximation of inverse kinematics for a redundant manipulator planning is investigated using immune algorithm. A method based on information entropy to calculate both the fitness and the density of antibodies is brought forward according to the special structure of the manipulator. With...
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