Author:
Wen Jinghao,Chen Jiashun,Jiang Jiatong,Bi Zekai,Wei Jintao
Publisher
Springer Nature Switzerland
Reference18 articles.
1. Shorakaei, H., Vahdani, M., Imani, B., et al.: Optimal cooperative path planning of unmanned aerial vehicles by a parallel genetic algorithm. Robotica 34(4), 823–836 (2016)
2. Zhou, Y., Wang, R.: An improved flower pollination algorithm for optimal unmanned undersea vehicle path planning problem. Int. J. Pattern Recognit. Artif. Intell. 30(4), 1659010.1–1659010.27 (2016)
3. Subramani, D.N.: Energy optimal path planning using stochastic dynamically orthogonal level set equations of technology by signature redacted signature redacted energy optimal path planning using stochastic dynamically orthogonal level set equations. Deep-Sea Res. Part II 56(3), 68–86 (2017)
4. Kovacs, B., Szayer, G., Tajti, F., et al.: A novel potential field method for path planning of mobile robots by adapting animal motion attributes. Robot. Auton. Syst. 82(C), 24–34 (2016)
5. Wang, G.G., Chu, H.C.E., Mirjalili, S.: Three-dimensional path planning for UCAV using an improved bat algorithm. Aerosp. Sci. Technol. 49(FEB), 231–238 (2016)