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pro vyhledávání: '"Zhao-yu Bei"'
Autor:
Zhao Yu Bei, Yan Jun Luo
Publikováno v:
Applied Mechanics and Materials. :216-219
Ant colony algorithm has disadvantages such as long researching time and easily relapsing into local optimization. Artificial fish-swarm algorithm is presented to conquer the disadvantages. The combination of the two algorithms is applied in function
Autor:
Yan Jun Luo, Zhao Yu Bei
Publikováno v:
Applied Mechanics and Materials. :1186-1189
In this paper, the structure similar to the connection of two connecting rods of human elbow joints is proposed to construct coordinates of connecting rods and the transformation matrix of pose. Lagrange’s equation is used to build dynamic equation
Autor:
Hong-yan Shi, Zhao-yu Bei
Publikováno v:
2009 Chinese Control and Decision Conference.
Ant colony algorithm(ACA) is a novel simulated evolutionary algorithm, which is based on the process of ants in the nature searching for food. ACA has many good features in optimization, but it has the limitations of stagnation and poor convergence,
Autor:
Hong-yan Shi, Zhao-yu Bei
Publikováno v:
2009 Chinese Control and Decision Conference.
Ant colony algorithm(ACA)is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of