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Robot path planning research with improved artificial lemming algorithm
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Huailiang Jiao, Liqun Liu, Junqiang He, Zheng Zhang, Qingfeng Wu
Electronic Measurement Technology | 2026, 49(6) : 86 - 97
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Electronic Measurement Technology | 2026, 49(6): 86-97
Theory and Algorithms
Robot path planning research with improved artificial lemming algorithm
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Huailiang Jiao, Liqun Liu, Junqiang He, Zheng Zhang, Qingfeng Wu
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  • School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
doi: 10.19651/j.cnki.emt.2519162
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In order to solve the problems of slow convergence speed, low convergence accuracy and easy to fall into local optimization of artificial lemmings algorithm (ALA), a multi strategy improved artificial lemmings algorithm (IALA) is proposed. Firstly, Hammersley sequence is introduced to initialize the population of the algorithm, so that the initial population has better search ability; then the reverse differential mutation mechanism is used to improve the diversity of the population and enhance the ability of the algorithm to escape from the local optimum; finally, through the soft frost ice search mechanism, the algorithm takes into account the local and global characteristics in the optimization process, which improves the optimization ability and convergence speed of the algorithm. In order to verify the effectiveness of the improved algorithm, nine benchmark functions are selected to compare the improved algorithm. The comparison results show that IALA has faster convergence speed and higher convergence accuracy. Finally, the improved algorithm is applied to the simulation experiment of robot path planning on three kinds of complex maps. The results show that compared with the original algorithm ala, the improved algorithm IALA in the first kind of map, the optimal value of path decreases by 0.64%, and the average value decreases by 2.86%; in the second map, the optimal value of path decreased by 10.24%, and the average value decreased by 6.91%; in the last map, the optimal value of the path decreased by 2.6%, and the average value decreased by 1.3%. It is proved that the improved algorithm has better path optimization ability.

artificial lemming algorithm  /  Hammersley sequence  /  reverse differential mutation mechanism  /  soft frost ice search  /  path planning
Huailiang Jiao, Liqun Liu, Junqiang He, Zheng Zhang, Qingfeng Wu. Robot path planning research with improved artificial lemming algorithm[J]. Electronic Measurement Technology, 2026 , 49 (6) : 86 -97 . DOI: 10.19651/j.cnki.emt.2519162
Year 2026 volume 49 Issue 6
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doi: 10.19651/j.cnki.emt.2519162
  • Receive Date:2025-06-22
  • Online Date:2026-05-15
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  • Received:2025-06-22
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    School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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