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Suji Zhu, Bo Wang, Shiqi Pan, Yuting Ye, Enguang Wang and Hanping Mao
Currently, the multi-machine collaboration of agricultural machinery is one of the international frontiers and a topic of research interest in the field of agricultural equipment. However, the multi-machine cooperative operation of agricultural machinery...
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Manli Dai and Zhongyi Jiang
An improved slime mold algorithm (IMSMA) is presented in this paper for a multiprocessor multitask fair scheduling problem, which aims to reduce the average processing time. An initial population strategy based on Bernoulli mapping reverse learning is pr...
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Xing Wang, Jeng-Shyang Pan, Qingyong Yang, Lingping Kong, Václav Sná?el and Shu-Chuan Chu
The unmanned aerial vehicle (UAV) path planning problem is primarily concerned with avoiding collision with obstacles while determining the best flight path to the target position. This paper first establishes a cost function to transform the UAV route p...
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Gangxuan Hu, Guohui Zhang, Yanyan Li, Xun Wang, Jiping An, Zhibin Zhang and Xinhong Li
The modular self-reconfigurable satellites (MSRSs) are a new type of satellite that can transform configuration in orbit autonomously. The inverse kinematics of MSRS is difficult to solve by conventional methods due to the hyper-redundant degrees of free...
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Bin Li, Jianlin Mao, Shuyi Yin, Lixia Fu and Yan Wang
Autonomous underwater vehicle (AUV) path planning in complex marine environments meets many chanllenges, such as many influencing factors, complex models and the performance of the optimization algorithm to be improved. To find a path with minimum cost o...
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Xuelian Pang, Haoran Xue, Ming-Lang Tseng, Ming K. Lim and Kaihua Liu
Prior studies are lacking which address permutation flow shop scheduling problems and hybrid flow shop scheduling problems together to help firms find the optimized scheduling strategy. The permutation flow shop scheduling problem and hybrid flow shop sc...
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