Zobrazeno 1 - 10
of 94
pro vyhledávání: '"HE Xingshi"'
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 37, Iss 3, Pp 109-114 (2023)
In order to develop a fast, efficient and intelligent tool to recognize anti-hypertensive peptides (AHTPs), an identification model based on multi-source characteristics and deep learning was constructed for the recognition of AHTPs. Novel enhanced g
Externí odkaz:
https://doaj.org/article/21fcb8db0174431abd376fe3aa6fdcb6
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 5, Pp 119-125 (2022)
In order to solve the problem of trajectory shift in iterative learning control, an adaptive iterative learning control strategy was proposed. For linear time-varying systems with unknown parameters, an adaptive parameter updating algorithm was const
Externí odkaz:
https://doaj.org/article/43a22c0802964247900b69f07a8e0046
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 2, Pp 110-118 (2022)
To solve the problem of difficult selection of penalty factor and kernel function parameters of Support Vector Machine (SVM), an improved cuckoo search algorithm (GFCS) was proposed to optimize SVM parameter model (GFCS-SVM) . The GFCS algorithm impr
Externí odkaz:
https://doaj.org/article/32433eccb879465ab31b56d86fff897a
Publikováno v:
In Neurocomputing 7 November 2024 605
Publikováno v:
In Neurocomputing 7 September 2024 597
Publikováno v:
In Information Fusion May 2025 117
Akademický článek
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Autor:
Yang, Xin-She, He, Xingshi
Firefly algorithm is a nature-inspired optimization algorithm and there have been significant developments since its appearance about ten years ago. This chapter summarizes the latest developments about the firefly algorithm and its variants as well
Externí odkaz:
http://arxiv.org/abs/1806.01632
Publikováno v:
Procedia Computer Science, vol. 108, 1354-1364 (2017)
Flower pollination algorithm is a recent metaheuristic algorithm for solving nonlinear global optimization problems. The algorithm has also been extended to solve multiobjective optimization with promising results. In this work, we analyze this algor
Externí odkaz:
http://arxiv.org/abs/1804.07995
Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such challenging problems. Some significant developments have been made in recen
Externí odkaz:
http://arxiv.org/abs/1804.07999