Adaptive genetic algorithm for path planning of loosely coordinated multi-robot manipulators

作者：Gao Sheng^*; Zhao Jie; Cai He Gao

来源：Journal of Harbin Institute of Technology, 2003, 10(1): 72-76.

• Decoupled planning
• Multirobot

Adaptive genetic algorithm ASAGA, 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 be 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 ASAGA and the strategy of decoupled planning.

• 出版日期2003