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In order to realize the rapid satellite selection of BDS / GPS dual-mode navigation system under the premise of satisfying the normal positioning accuracy, a new fast satellite selection algorithm is proposed. The algorithm combines the traditional satellite selection algorithm with genetic algorithm. The satellite area is divided by the elevation angles information of the visible satellite, according...
In order to obtain the minimum relative reduction of attributes, this paper proposes a rough set knowledge reduction algorithm based on chaos genetic algorithm. The algorithm uses chaotic variables to load in the genetic algorithm. The algorithm uses chaotic variables to carry out small disturbances. As the search process is carried out, the new algorithm can be used to enhance the local search ability...
In the battle of anti-air attack, the troops have to carry out the electronic jamming by integrated using of electronic measures in order to weaken the airborne Radar detection ability for the enemy. The allocation of jamming arms plays important role in influencing the jamming benefit directly. In this paper, we propose an arms allocation model for Radar jamming system based on the chaos genetic...
Battlefield Target Value Analysis based on chaos genetic algorithm, the establishment artillery firepower selection model, weapons fire units to maximize performance and achieve maximum damage effect. Steps include: using real-coded, generate initial species by constructing chromosomes; computing fitness, testing initial species; operating genetic operators and improved selection, crossover, mutation...
In this paper, a new scene recognition system IMSI is proposed, which based on partially connected neural evolutionary model and codal module. This module innovatively applies a new unit called codal module to connect several partially connected neural networks together. IMSI is effective for the multi-class scene recognition without feature extraction and solves the neural network oversizing problem...
To explore the method for the building of artificial brain, by combing neural network and genetic algorithm, Parcone model (partially connected neural evolutionary model) was proposed and represented, especially for its partially connected structure and evolution algorithm. Comparing with fully connected model, Parcone model can substantially decrease computing amount, while remain strong classification...
A novel approach to multi-robot cooperative map-building in complex environments is presented in this paper. The approach lets all robots operate individually and then tries to merge the different local grid maps into a single global one. Without using any pose information of the robots, the process of map merging is performed by measuring the similarity between grid maps. A distance transform and...
The problem of mixed reduced-order H2/Hinfin controllers design is discussed that a general approach is proposed to design mixed reduced-order H2/Hinfin controllers by genetic algorithms. The mixed reduced-order H2/Hinfin controllers are designed which have robustness and better system performance through Hinfin controllers were H2 optimization by GA. GA is used twice in reduced-order Hinfin control...
The rough set theory is a new mathematical tool to study vague and uncertain information, and is widely used in intelligent systems. In this paper, the basic ideas of rough set theory are introduced, and the notion of up and low approximation sets, attribute reduction, core and some extensions of rough set theory are also presented. Then the application of rough set theory in intelligent systems....
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