![]() ![]() Li, G., Chou, W.: Path planning for mobile robot using self-adaptive learning particle swarm optimization. Khaled, A., Farid, K.: Mobile robot path planning using an improved ant colony optimization. Huang, Y., Chen, S.: Solving multi-objective optimization problems using self-adaptive harmony search algorithms. Khalili, M., Kharrat, R., Salahshoor, K., Sefat, M.H.: Global dynamic harmony search algorithm: GDHS. Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. ![]() In: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), IEEE, pp. 540–544(2017)īinol, H., Bulut, E., Akkaya, K., Guvenc, I.: Time optimal multi-uav path planning for gathering its data from roadside units. In: 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE, pp. Wu, J., Yi, J., Gao, L., Li, X.: Cooperative path planning of multiple UAVS based on PH curves and harmony search algorithm. 1–12 (2020)įigueiredo, E.M.N., Ludermir, T.B., Bastos-Filho, C.J.A.: Many objective particle swarm optimization. Gao, W., Tang, Q., Ye, B., Yang, Y., Yao, J.: An enhanced heuristic ant colony optimization for mobile robot path planning. In: 2018 14th International Conference on Advanced Trends in Radioelecrtronics, IEEE, pp. Konatowski, S., Pawłowski, P.: Ant colony optimization algorithm for UAV path planning. Xiong, C., Chen, D., Lu, D., Zeng, Z., Lian, L.: Path planning of multiple autonomous marine vehicles for adaptive sampling using Voronoi-based ant colony optimization. Via, Y.V., Wahanani, H.E., Nudin, S.R.: Path planning for mobile robots in dynamic environment using improved Bacterial Foraging Algorithm. Passino, K.M.: Biomimicry of bacterial foraging for distributed optimization and control. The site was first occupied by prehistoric mound builders and later was a camping ground for Piankashaw and other Indians. ![]() It is located on the Wabash River at the Illinois border, 28 miles (45 km) northwest of Evansville. 123, 103320 (2020)Īzzabi, A., Nouri, K.: An advanced potential field method proposed for mobile robot path planning. New Harmony, town, Posey county, southwestern Indiana, U.S. Saeed, R.A., Recupero, D.R., Remagnino, P.: A boundary node method for path planning of mobile robots. Raja, P., Pugazhenthi, S.: Optimal path planning of mobile robots: a review. ![]()
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