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Multi robot distance based formation using Parallel Genetic Algorithm
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DOI：10.1016/j.asoc.2019.105929.png)
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In this paper an alternative method to achieve distance based formation is presented. The method uses Genetic Algorithms to find a suitable solution based on angle and distance, and an appropriate constant velocity to avoid collisions. The designed algorithm is extended to a parallel scheme to improve its performance and achieve Artificial Distributed Intelligence, in which the robots share, through solution migration, the best ways to converge to desired distances while avoiding collisions, finally reaching consensus on the solution. The algorithm is tested using simulations and real robots experiments. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Parallel Genetic Algorithm
Multi robot
Consensus
Formation
Distributed Artificial Intelligence
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期刊
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6.6
论文数:
1.4W
被引数:
4.8W
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引用论文
Multi-objective multi-robot path planning in continuous environment using an enhanced genetic algorithm基于改进遗传算法的连续环境多目标多机器人路径规划
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分享收藏分享收藏An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots.png)
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