机器人2000，Vol.22Issue(4)：276-281,6.
一种基于遗传算法的多机器人内力优化计算方法
OPTIMAL INTERNAL FORCE COMPUTING SCHEME FOR MULTIPLE MANIPULATORS USING GENETIC ALGORITHMS
摘要
Abstract
In this paper,based on analysis of static forces for multiple manipulators,a computing schemefor dynamic optimal internal force is presented by mixed genetic - simulated annealing algorithms,in which the maximum force constraints and the static frictional constraints at contacts points are considered asoptimizing conditions.Optimal computing results of internal force and load distribution are given by thesimulation of planar dual manipulators holding a load.关键词
多机器人/内力/遗传算法/模拟退火算法/全局最优Key words
Multiple manipulators/internal force/genetic algorithms/simulated annealing/algorithms/global optimization分类
信息技术与安全科学引用本文复制引用
王从庆,尹朝万..一种基于遗传算法的多机器人内力优化计算方法[J].机器人,2000,22(4):276-281,6.基金项目
中国科学院机器人学开放研究实验室基金资助课题。 （）
