Research on Global Ship Path Planning Method Based on Improved Ant Colony Algorithm
IEEE Open Journal of Intelligent Transportation Systems, 2023 To solve the global path planning problem of the ship in the static and dynamic environment, we propose an improved ant colony algorithm to plan the ship’s navigation path.
Ming Zhang, Hongxiang Ren, Yi Zhou
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International Journal of Advanced Robotic Systems, 2022 To improve the finding path accuracy of the ant colony algorithm and reduce the number of turns, a jump point search improved ant colony optimization hybrid algorithm has been proposed in this article.
Tao Chen +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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IEEE Access, 2019 In the current WSN operation process, there are two major problems of data collection difficulty and network energy consumption, which seriously affects the reliability of the WSN.
Kai-Chun Chu +2 more
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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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Design and validation of a multi-objective waypoint planning algorithm for UAV spraying in orchards based on improved ant colony algorithm. [PDF]
Front Plant Sci, 2023 Introduction Current aerial plant protection with Unmanned Aerial Vehicles (UAV) usually applies full coverage route planning, which is challenging for plant protection operations in the orchards in South China.
Tian H +6 more
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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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Path Planning of Mobile Robot With Improved Ant Colony Algorithm and MDP to Produce Smooth Trajectory in Grid-Based Environment. [PDF]
Front Neurorobot, 2020 This approach has been derived mainly to improve quality and efficiency of global path planning for a mobile robot with unknown static obstacle avoidance features in grid-based environment.
Ali H, Gong D, Wang M, Dai X.
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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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Smooth Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm
Journal of Robotics, 2021 Aiming at the problems of slow convergence, easy to fall into local optimum, and poor smoothness of traditional ant colony algorithm in mobile robot path planning, an improved ant colony algorithm based on path smoothing factor was proposed. Firstly, the
Wenming Wang +3 more
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