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Article

OPPOSITION-BASED LEARNING PARTICLE SWARM OPTIMIZATION OF RUNNING GAIT FOR HUMANOID ROBOT

, which helps to guide searching direction guidance at the beginning. A population update mechanism based on opposition learning is proposed for speeding up the convergence and improving the diversity. Simulation results validate the proposed method.

Liang Yang, Song Xijia, Chunjian Deng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1162–1179

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