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Planning of the mobile robot is one of the core research areas which is complex, binding and non-linear. Ant colony algorithm is an intelligent optimization algorithm developed in recent years. Aiming at the problems of the ant colony algorithm such as slow convergence speed and long computation cycle, in order to improve the efficiency of route planning, proposed using improved ant colony algorithm...
In CBR system, the case base is becoming increasingly larger with the incremental learning which results in the decline of case retrieval efficiency and its weaker performance. Aiming at such weakness of CBR system, this article proposes a novel case retrieval method based on Hybrid Ant-Fish Clustering Algorithm (HA-FC). At beginning of algorithm, we get rough cluster sets utilizing the advantage...
Traveling Salesman Problem is a very classical optimization problem in the field of operations research, and often-used benchmark for new optimization techniques. This paper will to bring up multi-agent approach for solving the Traveling Salesman Problem based on data mining algorithm, for the extraction of knowledge from a large set of Traveling Salesman Problem. The proposed approach supports the...
A low power reconfigurable DCT architecture is proposed, which can be run at three transform precision levels for different demands. Using the character of energy distribution of the DCT matrix after 2D DCT operation, we selected the best DCT bases which achieve considerable power reduction in DCT operation with minimum image quality degradation. The reconfigurable architecture can achieve power saving...
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