Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method [PDF]
Frontiers in Neurorobotics, 2019 This paper proposes an improved ant colony algorithm to achieve efficient searching capabilities of path planning in complicated maps for mobile robot.
Xiaolin Dai +5 more
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Wireless sensor network routing optimization based on improved ant colony algorithm in the Internet of Things. [PDF]
Heliyon, 2023 The Internet of Things (IoT) connects devices, enabling real-time data acquisition, automation, and collaboration. Wireless sensor networks are one of the important components of the Internet of Things, consisting of many wireless sensor nodes ...
Han H, Tang J, Jing Z.
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Dynamic Path Optimization Based on Improved Ant Colony Algorithm
Journal of Advanced Transportation, 2023 Dynamic path optimization is an important part of intelligent transportation systems (ITSs). Aiming at the shortcomings of the current dynamic path optimization method, the improved ant colony algorithm was used to optimize the dynamic path.
Juan Cheng
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Research on smooth path planning method based on improved ant colony algorithm optimized by Floyd algorithm. [PDF]
Front Neurorobot, 2022 Aiming at the problems of slow convergence and easy fall into local optimal solution of the classic ant colony algorithm in path planning, an improved ant colony algorithm is proposed.
Wang L +5 more
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Mathematics, 2022 Various studies have shown that the ant colony optimization (ACO) algorithm has a good performance in approximating complex combinatorial optimization problems such as traveling salesman problem (TSP) for real-world applications. However, disadvantages such as long running time and easy stagnation still restrict its further wide application in many ...
Shugang Li +4 more
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Dynamic Path Planning Based on Improved Ant Colony Algorithm in Traffic Congestion
IEEE Access, 2020 Congestion road condition is an important factor that must be considered in urban traffic path planning, while most path planning algorithms only consider the distance factor, which is not suitable for the current complex urban traffic congestion road ...
Chunjiang Wu, Shijie Zhou, Licai Xiao
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Mobile Robot Path Planning Using Ant Colony Algorithm and Improved Potential Field Method. [PDF]
Comput Intell Neurosci, 2019 For the problem of mobile robot's path planning under the known environment, a path planning method of mixed artificial potential field (APF) and ant colony optimization (ACO) based on grid map is proposed. First, based on the grid model, APF is improved
Chen G, Liu J.
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Path planning of lunar robot based on dynamic adaptive ant colony algorithm and obstacle avoidance
International Journal of Advanced Robotic Systems, 2020 Path planning of lunar robots is the guarantee that lunar robots can complete tasks safely and accurately. Aiming at the shortest path and the least energy consumption, an adaptive potential field ant colony algorithm suitable for path planning of lunar ...
Shinan Zhu +3 more
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Research on the Application of Ant Colony Algorithm in University Teaching Management Service System [PDF]
MATEC Web of Conferences, 2022 The ant colony algorithm is based on the real ant colony foraging behavior research algorithm, based on the ant colony algorithm university teaching management service system, through the development of one-click automatic course scheduling, drag-and ...
Yi Wei
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Single-Colony Adaptive Heterogeneous Ant Colony Algorithm for Mobile Robot Path Planning [PDF]
Jisuanji kexue yu tansuo, 2022 Aiming at the existent problems of complex structure, slow optimization rate and inadequate adaptability of multi-colony ant colony algorithm, a single colony adaptive heterogeneous ant colony algorithm is proposed to solve mobile robot path planning ...
ZHANG Songcan, SUN Lifan, SI Yanna, PU Jiexin
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