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Adaptive genetic algorithm for path planning of loosely coordinated multi-robot manipulators 被引量:1
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作者 高胜 赵杰 蔡鹤皋 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2003年第1期72-76,共5页
Adaptive genetic algorithm A SA GA, a novel algorithm, which can dynamically modify the parameters of Genetic Algorithms in terms of simulated annealing mechanism, is proposed for path planning of loosely coordinated ... Adaptive genetic algorithm A SA GA, a novel algorithm, which can dynamically modify the parameters of Genetic Algorithms in terms of simulated annealing mechanism, is proposed for path planning of loosely coordinated multi robot manipulators. Over the task space of a multi robot, a strategy of decoupled planning is also applied to the evolutionary process, which enables a multi robot to avoid falling into deadlock and calculating of composite C space. Finally, two representative tests are given to validate A SA GA and the strategy of decoupled planning. 展开更多
关键词 multi robot path planning adaptive genetic algorithm simulated annealing decoupled planning
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