Path Planning for Robots Based on Improved Genetic Algorithm

Aiming at the problems of long planning time and path feasibility existing in genetic algorithm (GA) for path planning, an improved method integrating GA with Rapidly-exploring Random Tree (RRT) algorithm is proposed. By generating initial path populations using the RRT algorithm, eliminating redund...

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Vydané v:	2025 10th International Conference on Information Science, Computer Technology and Transportation (ISCTT) s. 211 - 216
Hlavní autori:	Zhang, Yongquan, Ou, Hanwen, Zhang, Tian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 13.06.2025
Predmet:	Backtracking Convergence Genetic algorithms Heuristic algorithms improved genetic algorithm mobile robot Path planning Planning rapidly-exploring random tree algorithm Testing Training Transportation Turning
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