Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm
To improve property of artificial bee colony algorithm in multi-robot path planning,the optimized artificial bee colony algorithm is proposed. A new environment modeling method is given,which makes barrier border smooth. The principle of artificial bee colony algorithm is analyzed,adaptive searching...
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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2017-01-01
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Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.12.026 |
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author | Zhang Lin Zhan Weipeng Zhu Lingfen Wu Guoxing |
author_facet | Zhang Lin Zhan Weipeng Zhu Lingfen Wu Guoxing |
author_sort | Zhang Lin |
collection | DOAJ |
description | To improve property of artificial bee colony algorithm in multi-robot path planning,the optimized artificial bee colony algorithm is proposed. A new environment modeling method is given,which makes barrier border smooth. The principle of artificial bee colony algorithm is analyzed,adaptive searching factor is proposed to improve new food source generation method,which balances searching range and convergence rate.The robot path point is improved by location angle,and by using this way,the location parameter is reduced.The path length,path smoothness and path safety is synthesized to a goal function by weight. The simulation trial shows that path length and time cost of improved algorithm is superior to primary algorithm. And with robot quantity increasing,the gap of the two algorithms is bigger and bigger. |
first_indexed | 2024-03-13T09:19:23Z |
format | Article |
id | doaj.art-9312561ff28a4cc6829f8d647bcc1044 |
institution | Directory Open Access Journal |
issn | 1004-2539 |
language | zho |
last_indexed | 2024-03-13T09:19:23Z |
publishDate | 2017-01-01 |
publisher | Editorial Office of Journal of Mechanical Transmission |
record_format | Article |
series | Jixie chuandong |
spelling | doaj.art-9312561ff28a4cc6829f8d647bcc10442023-05-26T09:46:55ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-014112913229933965Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony AlgorithmZhang LinZhan WeipengZhu LingfenWu GuoxingTo improve property of artificial bee colony algorithm in multi-robot path planning,the optimized artificial bee colony algorithm is proposed. A new environment modeling method is given,which makes barrier border smooth. The principle of artificial bee colony algorithm is analyzed,adaptive searching factor is proposed to improve new food source generation method,which balances searching range and convergence rate.The robot path point is improved by location angle,and by using this way,the location parameter is reduced.The path length,path smoothness and path safety is synthesized to a goal function by weight. The simulation trial shows that path length and time cost of improved algorithm is superior to primary algorithm. And with robot quantity increasing,the gap of the two algorithms is bigger and bigger.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.12.026Multi-robot;Collaborative planning;Optimized artificial bee colony algorithm;Adaptive searching factor |
spellingShingle | Zhang Lin Zhan Weipeng Zhu Lingfen Wu Guoxing Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm Jixie chuandong Multi-robot;Collaborative planning;Optimized artificial bee colony algorithm;Adaptive searching factor |
title | Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm |
title_full | Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm |
title_fullStr | Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm |
title_full_unstemmed | Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm |
title_short | Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm |
title_sort | multi robot collaborative planning based on optimized artificial bee colony algorithm |
topic | Multi-robot;Collaborative planning;Optimized artificial bee colony algorithm;Adaptive searching factor |
url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.12.026 |
work_keys_str_mv | AT zhanglin multirobotcollaborativeplanningbasedonoptimizedartificialbeecolonyalgorithm AT zhanweipeng multirobotcollaborativeplanningbasedonoptimizedartificialbeecolonyalgorithm AT zhulingfen multirobotcollaborativeplanningbasedonoptimizedartificialbeecolonyalgorithm AT wuguoxing multirobotcollaborativeplanningbasedonoptimizedartificialbeecolonyalgorithm |