Zhao Lijiang
Guangzhou Vocational and Technical College of Sport, Guangzhou, Guangdong, 510650, China
ABSTRACT
Traditional genetic optimization algorithms only consider the kinematics characteristics of a technical movement, not taking the rationality and natural degree of the movement into account, thus resulting in a not ideal optimization effect. Through analyzing the technical characteristics of the snatch movement, based on the optimal joint torque fitting control model according to micro-motions of snatch, this study uses IEC algorithm to calculate the optimal joint torque and effectively solves the multi-attribute decision making problem of the torque optimization of such unconventional movements. Experimental simulation results show that the method can not only well fitted the joint torque but also meet the requirements of various unconventional indicators of technical movement optimization of snatch.
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How to cite this article
Zhao Lijiang, 2013. Studies on Interactive Evolutionary Computation for Technical Movement Optimization in Competitive Sports. Information Technology Journal, 12: 6402-6406.
DOI: 10.3923/itj.2013.6402.6406
URL: https://scialert.net/abstract/?doi=itj.2013.6402.6406
DOI: 10.3923/itj.2013.6402.6406
URL: https://scialert.net/abstract/?doi=itj.2013.6402.6406
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