|
1
|
Huang W, Yu Y, Tong C, Xu M, Zhang R. Using a Duffing control approach to control the single risk factor in complex social-technical systems. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.03.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
|
|
2
|
Liu Y, Xuan Y, Zhang D, Zou S. Localizing unknown radiation sources by unscented particle filtering based on divide-and-conquer sampling. J NUCL SCI TECHNOL 2022. [DOI: 10.1080/00223131.2022.2032858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Yizhou Liu
- Hunan Provincial Key Laboratory of Emergency Safety Technology and Equipment for Nuclear Facilities, School of resource Environment and Safety engineering, University of South China, HengYang, China
| | - Yike Xuan
- School of Economics and Management, Hebei University of Technology, Tianjin, China
| | - De Zhang
- Hunan Provincial Key Laboratory of Emergency Safety Technology and Equipment for Nuclear Facilities, School of resource Environment and Safety engineering, University of South China, HengYang, China
| | - Shuliang Zou
- Hunan Provincial Key Laboratory of Emergency Safety Technology and Equipment for Nuclear Facilities, School of resource Environment and Safety engineering, University of South China, HengYang, China
| |
Collapse
|
|
3
|
Du S, Deng Q. Unscented Particle Filter Algorithm Based on Divide-and-Conquer Sampling for Target Tracking. SENSORS 2021; 21:s21062236. [PMID: 33806796 PMCID: PMC8004740 DOI: 10.3390/s21062236] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 11/16/2022]
Abstract
Unscented particle filter (UPF) struggles to completely cover the target state space when handling the maneuvering target tracing problem, and the tracking performance can be affected by the low sample diversity and algorithm redundancy. In order to solve this problem, the method of divide-and-conquer sampling is applied to the UPF tracking algorithm. By decomposing the state space, the descending dimension processing of the target maneuver is realized. When dealing with the maneuvering target, particles are sampled separately in each subspace, which directly prevents particles from degeneracy. Experiments and a comparative analysis were carried out to comprehensively analyze the performance of the divide-and-conquer sampling unscented particle filter (DCS-UPF). The simulation result demonstrates that the proposed algorithm can improve the diversity of particles and obtain higher tracking accuracy in less time than the particle swarm algorithm and intelligent adaptive filtering algorithm. This algorithm can be used in complex maneuvering conditions.
Collapse
Affiliation(s)
- Sichun Du
- Correspondence: ; Tel.: +86-186-7072-2980
| | | |
Collapse
|
|
4
|
Shi W, Chen WN, Gu T, Jin H, Zhang J. Handling Uncertainty in Financial Decision Making: A Clustering Estimation of Distribution Algorithm With Simplified Simulation. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2021. [DOI: 10.1109/tetci.2020.3013652] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|
|
5
|
Li W, Wang L, Cai X, Hu J, Guo W. Species co-evolutionary algorithm: a novel evolutionary algorithm based on the ecology and environments for optimization. Neural Comput Appl 2019. [DOI: 10.1007/s00521-015-1971-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
|
6
|
Deng X, Song J, Zhao J, Li Z. The fuzzy tri-objective mean-semivariance-entropy portfolio model with layer-by-layer tolerance evaluation method paper. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2018. [DOI: 10.3233/jifs-17962] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Xue Deng
- School of Mathematics, South China University of Technology, Guangzhou, China
| | - Jian Song
- School of Mathematics, South China University of Technology, Guangzhou, China
| | - Junfeng Zhao
- Department of Mechanical Engineering, Guangdong College of Industry and Commerce, Guangzhou, China
| | - Zhongfei Li
- Business School, Sun Yat-Sen University, Guangzhou, China
| |
Collapse
|
|
7
|
Liu Y, Yang M, Zhai J, Bai M. Portfolio selection of the defined contribution pension fund with uncertain return and salary: A multi-period mean-variance model. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2018. [DOI: 10.3233/jifs-171440] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Yali Liu
- School of Economics and Management, Beihang University, Beijing, China
| | - Meiying Yang
- School of Economics and Management, Beihang University, Beijing, China
| | - Jia Zhai
- School of Economics and Management, Beihang University, Beijing, China
| | - Manying Bai
- School of Economics and Management, Beihang University, Beijing, China
| |
Collapse
|
|
8
|
|
|
9
|
|
|
10
|
|
|
11
|
|
|
12
|
Deng X, Li R. Gradually tolerant constraint method for fuzzy portfolio based on possibility theory. Inf Sci (N Y) 2014. [DOI: 10.1016/j.ins.2013.10.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
|
13
|
Guo W, Wang L, Wu Q. An analysis of the migration rates for biogeography-based optimization. Inf Sci (N Y) 2014. [DOI: 10.1016/j.ins.2013.07.018] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
|
14
|
Pham HV, Cooper EW, Cao T, Kamei K. Hybrid Kansei-SOM model using risk management and company assessment for stock trading. Inf Sci (N Y) 2014. [DOI: 10.1016/j.ins.2011.11.036] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
|
15
|
|
|
16
|
|
|
17
|
Gupta P, Inuiguchi M, Mehlawat MK, Mittal G. Multiobjective credibilistic portfolio selection model with fuzzy chance-constraints. Inf Sci (N Y) 2013. [DOI: 10.1016/j.ins.2012.12.011] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
|
|
18
|
Kıran MS, Gündüz M. A recombination-based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems. Appl Soft Comput 2013. [DOI: 10.1016/j.asoc.2012.12.007] [Citation(s) in RCA: 114] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
|
19
|
Zengin A, Sarjoughian H, Ekiz H. Discrete event modeling of swarm intelligence based routing in network systems. Inf Sci (N Y) 2013. [DOI: 10.1016/j.ins.2011.06.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
|
20
|
Xu W, Geng Z, Zhu Q, Gu X. A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization. Inf Sci (N Y) 2013. [DOI: 10.1016/j.ins.2012.06.003] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|
|
21
|
|
|
22
|
Cai J, David Pan W. On fast and accurate block-based motion estimation algorithms using particle swarm optimization. Inf Sci (N Y) 2012. [DOI: 10.1016/j.ins.2012.02.014] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
|
23
|
Gálvez A, Iglesias A. Particle swarm optimization for non-uniform rational B-spline surface reconstruction from clouds of 3D data points. Inf Sci (N Y) 2012. [DOI: 10.1016/j.ins.2010.11.007] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
|
24
|
|
|
25
|
Chu W, Gao X, Sorooshian S. A new evolutionary search strategy for global optimization of high-dimensional problems. Inf Sci (N Y) 2011. [DOI: 10.1016/j.ins.2011.06.024] [Citation(s) in RCA: 77] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
|
26
|
|
|
27
|
Complex system fault diagnosis based on a fuzzy robust wavelet support vector classifier and an adaptive Gaussian particle swarm optimization. Inf Sci (N Y) 2010. [DOI: 10.1016/j.ins.2010.08.006] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|