Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Shangqin Tang"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 847-868 (2023)
Abstract In this paper, a novel Adaptive Parameter Strategy Differential Evolution (APSDE) algorithm is proposed to overcome the parameters dependence and avoid local optima. The Parameter Update Mechanism (PUM), which has three different strategies,
Externí odkaz:
https://doaj.org/article/d10fb189070c4c2382ae55060a1c1f29
Publikováno v:
Information Sciences. 619:439-456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e91c4a1d998fe80028bcd0ac86f9f75b
https://doi.org/10.1016/j.ins.2022.11.029
https://doi.org/10.1016/j.ins.2022.11.029
Publikováno v:
Complex & Intelligent Systems; Apr2024, Vol. 10 Issue 2, p2151-2172, 22p
Publikováno v:
Information Sciences. 606:350-367
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f48f192971a55a45b76806a1f90cd545
https://doi.org/10.1016/j.ins.2022.05.058
https://doi.org/10.1016/j.ins.2022.05.058
Publikováno v:
Swarm and Evolutionary Computation. 78:101294
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::929f755bc55cf6a46acc515dc2802a0f
https://doi.org/10.1016/j.swevo.2023.101294
https://doi.org/10.1016/j.swevo.2023.101294
Publikováno v:
Soft Computing. 24:5933-5948
Determining how to improve the global search ability and adaptability of an algorithm without reducing the convergence speed is still a major challenge for most meta-heuristic algorithms. This paper proposes a new random orthocenter strategy combined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19101a9be8fffe67e4d331c55cc50209
https://doi.org/10.1007/s00500-019-04498-y
https://doi.org/10.1007/s00500-019-04498-y
Publikováno v:
Nonlinear Dynamics. 97:1227-1243
As a commonly used filtering method for nonlinear non-Gaussian systems, particle filters (PFs) have been successfully applied in the field of maneuvering target tracking. However, particle impoverishment is a major obstacle to the PF performance. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9f7804c85d8d1c375943482d5957f27
https://doi.org/10.1007/s11071-019-05043-0
https://doi.org/10.1007/s11071-019-05043-0
Autor:
An-Di Tang, Shangqin Tang, Xiaofei Wang, Zhenglei Wei, Lei Xie, Peng Zhang, Yongbo Xuan, Yintong Li
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40bb7b8e60c0e88b769d6933a7f3355e
https://doi.org/10.1109/ccdc52312.2021.9602340
https://doi.org/10.1109/ccdc52312.2021.9602340
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Slime mould algorithm (SMA) is a population-based metaheuristic algorithm inspired by the phenomenon of slime mould oscillation. The SMA is competitive compared to other algorithms but still suffers from the disadvantages of unbalanced exploitation a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d0a3d1419f57d24b455bd0040574d5d
Triangle Search Optimization Algorithm for Single-Objective Bound-Constrained Numerical Optimization
Publikováno v:
2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE).
Real-parameter optimization has been a focus of the last decade. An inspired algorithm, triangle search optimization (TSO), is proposed for the Congress on Evolutionary Computation (CEC) 2020 competition. In this paper, the TSO algorithm is divided i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b26743730281a3c48020353274ae6632
https://doi.org/10.1109/icmcce51767.2020.00336
https://doi.org/10.1109/icmcce51767.2020.00336