Page 112 - Read Online
P. 112

Mai et al. Intell Robot 2023;3(4):466-84  I http://dx.doi.org/10.20517/ir.2023.37  Page 19 of 19



               14. Kala R, Shukla A, Tiwari R. Fusion of probabilistic A* algorithm and fuzzy inference system for robotic path planning. Artif Intell Rev
                  2010;33:307-27. DOI
               15. Dorigo M, Maniezzo V, Colorni A. Positive feedback as a search strategy. Tech Rep 1991;91-016. Available from: https://api.semanticsc
                  holar.org/CorpusID:16027138. [Last accessed on 15 Dec 2023]
               16. Dorigo M, Maniezzo V, Colorni A. Ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern B
                  1996;26:29-41. DOI
               17. Sttzle T, Hoos H. Improving the ant system: a detailed report on the MAX-MIN ant system. Available from: https://api.semanticscholar.
                  org/CorpusID:14922469. [Last accessed on 15 Dec 2023]
               18. Dorigo M, Gambardella LM. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol
                  Comput 1997;1:53-66. DOI
               19. Li P, Wang H, Li X. Improved ant colony algorithm for global path planning. AIP Conf Proc 2017;1820:080013. DOI
               20. Huang M, Ding P, Huan JX. Global path planning for mobile robot based on improved ant colony algorithms. Appl Mech Mater
                  2013;418:15-9. DOI
               21. Luo Q, Wang H, Zheng Y, He J. Research on path planning of mobile robot based on improved ant colony algorithm. Neural Comput
                  Appl 2020;32:1555-66. DOI
               22. Chen Y, Wu J, He C, Zhang S. Intelligent warehouse robot path planning based on improved ant colony algorithm. IEEE Access
                  2023;11:12360-7. DOI
               23. Yi N, Xu J, Yan L, Huang L. Task optimization and scheduling of distributed cyber-physical system based on improved ant colony
                  algorithm. Future Gener Comput Syst 2020;109:134-48. DOI
               24. Ning J, Zhang Q, Zhang C, Zhang B. A best-path-updating information-guided ant colony optimization algorithm. Inf Sci 2018;433:142-62.
                  DOI
               25. Wang Y, Chen J, Ning W, et al. A time-sensitive network scheduling algorithm based on improved ant colony optimization. Ale Eng J
                  2021;60:107-14. DOI
               26. Miao C, Chen G, Yan C, Wu Y. Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm. Comput Ind
                  Eng 2021;156:107230. DOI
               27. Lyridis DV. An improved ant colony optimization algorithm for unmanned surface vehicle local path planning with multi-modality
                  constraints. Ocean Eng 2021;241:109890. DOI
               28. Hou W, Xiong Z, Wang C, Chen H. Enhanced ant colony algorithm with communication mechanism for mobile robot path planning.
                  Robot Auton Syst 2022;148:103949. DOI
   107   108   109   110   111   112   113   114   115   116   117