Recent Advances in Swarm Intelligence Algorithms and Their Applications
Recent Advances in Swarm Intelligence Algorithms and Their Applications by Jian Dong
English | PDF | 2023 | 496 Pages | ISBN : N/A | 45.4 MB
Swarm intelligence algorithms represent a rapidly growing research domain and have recently attracted a great deal of attention. They have been successfully applied in engineering, transportation, planning and scheduling, logistics and supply chains, and a broad range of other domains. They often find high-quality solutions with less computational effort than other optimization methods.
With the advancement of swarm intelligence algorithms, new variants and improvements are continuously proposed to accommodate different types of problems and application domains. The research and application of these algorithms provide an efficient and flexible approach to tackling real-world problems, while also driving the development of optimization algorithms and advancing theoretical investigations.
This Special Issue aims to highlight the latest results on swarm intelligence and its combination with real-world problems and other fields, such as engineering problems, vehicle swarm motion, viscoelastic Maxwell-type DVA, deep learning, loss of the network, echo cancellation scenarios, etc.
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