| 具有势场启发因子的蚁群路径规划仿真 |
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| 引用本文： | 王辉,于立君,胡羽坤,王莹莹.具有势场启发因子的蚁群路径规划仿真[J].实验室研究与探索,2020(3):106-109,202. |
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| 作者姓名： | 王辉 于立君 胡羽坤 王莹莹 |
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| 作者单位： | 1.哈尔滨工程大学自动化学院 |
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| 基金项目： | 黑龙江省教改项目(SJGY20170505);(SJGY20170506);(SJGY20180089);哈尔滨工程大学教改项目(JG2018Y06)。 |
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| 摘 要： | 移动机器人路径规划是目前实验教学中学生最为感兴趣的创新实验项目之一。为在程序运行的不同阶段让蚁群算法和人工势场法发挥各自优势,利用人工势场法对蚁群算法进行了改进,引入势场启发因子,使改进后算法能够较为快速地规划出一条较优的全局路径,并在实验室环境下对改进算法进行了仿真分析与验证。该实验项目有效地训炼了学生的编程能力和培养了创新思维。
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| 关 键 词： | 路径规划 人工势场 启发因子 创新能力 |
Simulation on Ant Colony Path Planning with Potential Field Heuristic Factor |
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| WANG Hui,YU Lijun,HU Yukun,WANG Yingying.Simulation on Ant Colony Path Planning with Potential Field Heuristic Factor[J].Laboratory Research and Exploration,2020(3):106-109,202. |
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| Authors: | WANG Hui YU Lijun HU Yukun WANG Yingying |
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| Institution: | (College of Automation,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | Mobile robot path planning is an innovative experimental project that students are most interested in experimental teaching.Aiming to make ant colony algorithm and artificial potential field method perform their respective advantages at different stages of the program’s operation,the artificial potential field method is used to improve the ant colony algorithm.The potential field heuristic factor is introduced,so that the improved algorithm can plan an optimal or superior path more quickly,and the improved algorithm is simulated and verified in the laboratory environment.The innovative experimental project has effectively trained students’programming skills and cultivated innovative thinking. |
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| Keywords: | path planning artificial potential field heuristic factor innovation ability |
| 本文献已被 CNKI 维普 等数据库收录！ |
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