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This paper presents an improved ant colony optimization (ACO) algorithm for robot path planning, addressing limitations such as slow convergence and low path smoothness. The proposed algorithm incorporates farthest point optimization and a multi-objective strategy, utilizing new heuristic information and a comprehensive evaluation index to enhance path quality. Experimental results demonstrate that this approach outperforms 20 existing methods, achieving shorter paths with fewer turns and faster convergence
- Author
- Phuocvinh Nguyen
- Language
- EN