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Jun Long, Shimin Wu, Xiaodong Han, Yunbo Wang and Limin Liu
The increasing number of satellites for specific space tasks makes it difficult for traditional satellite task planning that relies on ground station planning and on-board execution to fully exploit the overall effectiveness of satellites. Meanwhile, the...
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Jishu K. Medhi, Rui Liu, Qianlong Wang and Xuhui Chen
Multiple unmanned aerial vehicle (multi-UAV) systems have gained significant attention in applications, such as aerial surveillance and search and rescue missions. With the recent development of state-of-the-art multiagent reinforcement learning (MARL) a...
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Yunfa Li, Di Zhang, Zetian Wang and Guanxu Liu
With the advancement of smart devices, the operation and communication of smart grids have become increasingly efficient. Many smart devices such as smart meters, smart transformers, and smart grid controllers are already widely used in smart grids. Thus...
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Aleksei Vakhnin and Evgenii Sopov
Unconstrained continuous large-scale global optimization (LSGO) is still a challenging task for a wide range of modern metaheuristic approaches. A cooperative coevolution approach is a good tool for increasing the performance of an evolutionary algorithm...
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Shuangxi Liu, Fengping Huang, Binbin Yan, Tong Zhang, Ruifan Liu and Wei Liu
In an effort to maximize the combat effectiveness of multimissile groups, this paper proposes an adaptive simulated annealing?particle swarm optimization (SA-PSO) algorithm to enhance the design parameters of multimissile formations based on the concept ...
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