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Publikováno v:
IEEE Access, Vol 7, Pp 58053-58072 (2019)
Aiming at the problem of slow convergence speed and ease of falling into local optimum when solving high dimensional problems, this paper proposes an improved chicken swarm optimization algorithm. The improved chicken swarm optimization includes four
Externí odkaz:
https://doaj.org/article/afa6e27e910b4cff9e19e26bb90e9a4b
Publikováno v:
IEEE Access, Vol 7, Pp 58053-58072 (2019)
Aiming at the problem of slow convergence speed and ease of falling into local optimum when solving high dimensional problems, this paper proposes an improved chicken swarm optimization algorithm. The improved chicken swarm optimization includes four
Akademický článek
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Autor:
Ravishankar, K., Jothikumar, C.
Publikováno v:
Computer Systems Science & Engineering; 2023, Vol. 47 Issue 1, p613-635, 23p
Publikováno v:
Wireless Personal Communications; Dec2022, Vol. 127 Issue 4, p3449-3465, 17p
Publikováno v:
Sustainability (2071-1050); Jan2022, Vol. 14 Issue 2, p853-853, 1p
Publikováno v:
Sustainability (2071-1050); Jan2019, Vol. 11 Issue 2, p512, 1p
Autor:
Sushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Kumar Mallick, Arun Kumar Sangaiah, Gyoo-Soo Chae
Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The
Autor:
Xiaolong Li
This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchai