233 related articles for article (PubMed ID: 35845413)
21. Mobile Robot Path Planning Using Ant Colony Algorithm and Improved Potential Field Method.
Chen G; Liu J
Comput Intell Neurosci; 2019; 2019():1932812. PubMed ID: 31198416
[TBL] [Abstract][Full Text] [Related]
22. Improved ant colony optimization for safe path planning of AUV.
Ronghua M; Xinhao C; Zhengjia W; Du Xuan
Heliyon; 2024 Apr; 10(7):e27753. PubMed ID: 38560125
[TBL] [Abstract][Full Text] [Related]
23. Underwater Submarine Path Planning Based on Artificial Potential Field Ant Colony Algorithm and Velocity Obstacle Method.
Fu J; Lv T; Li B
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632060
[TBL] [Abstract][Full Text] [Related]
24. Multi-objective path planning for mobile robot with an improved artificial bee colony algorithm.
Yu Z; Duan P; Meng L; Han Y; Ye F
Math Biosci Eng; 2023 Jan; 20(2):2501-2529. PubMed ID: 36899544
[TBL] [Abstract][Full Text] [Related]
25. A multi-center joint distribution optimization model considering carbon emissions and customer satisfaction.
Ren X; Jiang X; Ren L; Meng L
Math Biosci Eng; 2023 Jan; 20(1):683-706. PubMed ID: 36650784
[TBL] [Abstract][Full Text] [Related]
26. Obstacle avoidance planning of space manipulator end-effector based on improved ant colony algorithm.
Zhou D; Wang L; Zhang Q
Springerplus; 2016; 5():509. PubMed ID: 27186473
[TBL] [Abstract][Full Text] [Related]
27. Research on Architectural Planning and Landscape Design of Smart City Based on Computational Intelligence.
Shao N
Comput Intell Neurosci; 2022; 2022():1745593. PubMed ID: 35909860
[TBL] [Abstract][Full Text] [Related]
28. Optimal energy efficient path planning of UAV using hybrid MACO-MEA* algorithm: theoretical and experimental approach.
Balasubramanian E; Elangovan E; Tamilarasan P; Kanagachidambaresan GR; Chutia D
J Ambient Intell Humaniz Comput; 2022 Jun; ():1-21. PubMed ID: 35789596
[TBL] [Abstract][Full Text] [Related]
29. Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System.
Li F
Comput Intell Neurosci; 2022; 2022():3699990. PubMed ID: 36199971
[TBL] [Abstract][Full Text] [Related]
30. Path planning of mobile robot based on improved ant colony algorithm for logistics.
Xue T; Li L; Shuang L; Zhiping D; Ming P
Math Biosci Eng; 2021 Mar; 18(4):3034-3045. PubMed ID: 34198374
[TBL] [Abstract][Full Text] [Related]
31. LF-ACO: an effective formation path planning for multi-mobile robot.
Yang L; Fu L; Li P; Mao J; Guo N; Du L
Math Biosci Eng; 2022 Jan; 19(1):225-252. PubMed ID: 34902989
[TBL] [Abstract][Full Text] [Related]
32. Research on route planning for solar UAV based on the intelligent optimization algorithm.
Hu Z; Liu S
Sci Prog; 2023; 106(3):368504231187498. PubMed ID: 37603890
[TBL] [Abstract][Full Text] [Related]
33. Three-dimensional continuous picking path planning based on ant colony optimization algorithm.
Zhang C; Wang H; Fu LH; Pei YH; Lan CY; Hou HY; Song H
PLoS One; 2023; 18(2):e0282334. PubMed ID: 36848362
[TBL] [Abstract][Full Text] [Related]
34. An improved ant colony algorithm for integrating global path planning and local obstacle avoidance for mobile robot in dynamic environment.
Gong C; Yang Y; Yuan L; Wang J
Math Biosci Eng; 2022 Aug; 19(12):12405-12426. PubMed ID: 36654004
[TBL] [Abstract][Full Text] [Related]
35. Convergence Analysis of Path Planning of Multi-UAVs Using Max-Min Ant Colony Optimization Approach.
Shafiq M; Ali ZA; Israr A; Alkhammash EH; Hadjouni M; Jussila JJ
Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35891074
[TBL] [Abstract][Full Text] [Related]
36. Neural Network Optimal Routing Algorithm Based on Genetic Ant Colony in IPv6 Environment.
Ni W; Xu Z; Zou J; Wan Z; Zhao X
Comput Intell Neurosci; 2021; 2021():3115704. PubMed ID: 34335713
[TBL] [Abstract][Full Text] [Related]
37. Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem.
Thammano A; Rungwachira P
Heliyon; 2021 Sep; 7(9):e08029. PubMed ID: 34622046
[TBL] [Abstract][Full Text] [Related]
38. Hybrid Path Planning for Unmanned Surface Vehicles in Inland Rivers Based on Collision Avoidance Regulations.
Gao P; Xu P; Cheng H; Zhou X; Zhu D
Sensors (Basel); 2023 Oct; 23(19):. PubMed ID: 37837156
[TBL] [Abstract][Full Text] [Related]
39. Improved ant algorithms for software testing cases generation.
Yang S; Man T; Xu J
ScientificWorldJournal; 2014; 2014():392309. PubMed ID: 24883391
[TBL] [Abstract][Full Text] [Related]
40. Double-robot obstacle avoidance path optimization for welding process.
Wang XW; Tang B; Zhou X; Gu XS
Math Biosci Eng; 2019 Jun; 16(5):5697-5708. PubMed ID: 31499733
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]