Research on the Optimal Design of Soccer Robot Based on the Mechanical Analysis
2013 ◽
Vol 380-384
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pp. 3854-3857
Keyword(s):
According to the defects of classical k-means clustering algorithm such as sensitive to the initial clustering center selection, the poor global search ability, falling into the local optimal solution. A differential evolution algorithm which was a kind of a heuristic global optimization algorithm based on population was introduced in this article, then put forward an improved differential evolution algorithm combined with k-means clustering algorithm at the same time. The experiments showed that the method has solved initial centers optimization problem of k-means clustering algorithm well, had a better searching ability,and more effectively improved clustering quality and convergence speed
2013 ◽
Vol 756-759
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pp. 3231-3235
2014 ◽
Vol 596
◽
pp. 216-221
2012 ◽
Vol 452-453
◽
pp. 1491-1495
2014 ◽
Vol 18
(2)
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pp. 209-225
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