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检索条件"机构=Science and Technology on Complex System Simulation Laboratory"
2021 条 记 录,以下是1921-1930 订阅
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Neighborhood sharing particle swarm optimization
Neighborhood sharing particle swarm optimization
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IEEE International Conference on Cognitive Informatics
作者: Yongfang Chu Zhihua Cui Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China
Biological results suggest that information provided by neighborhood of each individual offers an evolutionary advantage, furthermore, the current state of neighbors significantly impact on the decision process of gro... 详细信息
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Particle swarm optimization with individual decision
Particle swarm optimization with individual decision
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IEEE International Conference on Cognitive Informatics
作者: Guohui Jiao Zhihua Cui Jianchao Zeng Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China
As a swam intelligent technique, particle swam optimization (PSO) simulates the animal collective behaviors. Since each individual manipulates different experience due to the different living environment, each particl... 详细信息
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A new modified PSO based on black stork foraging process
A new modified PSO based on black stork foraging process
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IEEE International Conference on Cognitive Informatics
作者: Xingjuan Cai Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China
Cognitive parameter plays an important role in particle swarm optimization. Although many cognitive parameter selection strategies are proposed, there is still much work need to do. This paper proposes an individual c... 详细信息
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Design and evaluation of natural light guiding system in ecological illumination of traffic tunnel
Design and evaluation of natural light guiding system in eco...
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SPIE Optical Engineering + Applications
作者: Chen, Cheng-Nan Chen, Yi-Yung Whang, Allen Jong-Woei Chen, Li-Hsien Photonics System Simulation and Design Laboratory Department of Electro-Optical Engineering National Taiwan University of Science and Technology #43 Sec. 4 Keelung Rd. Taipei 106 Taiwan Photonics System Simulation and Design Laboratory Department of Electronic Engineering National Taiwan University of Science and Technology #43 Sec. 4 Keelung Rd. Taipei 106 Taiwan Department of Civil Engineering Graduate Institute of Civil and Disaster Prevention Engineering National Taipei University of Technology #1 Sec. 3 Jhongsiao E. Rd. Taipei 106 Taiwan
Ecological traffic tunnel means that the manner can deal with tunnel project environmental problem of surrounding area and it is most close to the green environment. In general, we always use artificial light sources,... 详细信息
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Corrigendum to “Using fuzzy theory and information entropy for water quality assessment in three Gorges region, China” [Expert systems with Applications 37 (3) (2010) 2517–2521]
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Expert systems with Applications 2010年 第6期37卷 4720-4720页
作者: Li Liu Jianzhong Zhou Xueli An Yongchuan Zhang Li Yang Dispatch & Communication Center Hunan Electric Power Company Hunan Province Changsha 410007 China College of Hydroelectric and Digitalization Engineering Huazhong University of Science and Technology Hubei Province 430074 Wuhan China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Thermal Engineering Tsinghua University Beijing 100084 China
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An improved particle swarm optimization with feasibility-based rules for mixed-variable optimization problems
An improved particle swarm optimization with feasibility-bas...
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2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
作者: Sun, Chao-Li Zeng, Jian-Chao Pan, Jeng-Shyang Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi 030024 China Shenzhen Graduate School Harbin Institute of Technology Shenzhen Guangdong 518055 China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung 807 Taiwan
This paper presents an improved particle swarm optimization algorithm with feasibility- based rules (FRIPSO) to solve mixed-variable constrained optimization problems. Different kinds of variables are dealt in differe... 详细信息
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Adaptive sliding mode control for Takagi-Sugeno fuzzy systems
Adaptive sliding mode control for Takagi-Sugeno fuzzy system...
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48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
作者: Zhang, Jinhui Shi, Peng Xia, Yuanqing Fu, Mengyin Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing 100081 China Faculty of Advanced Technology University of Glamorgan Pontypridd CF37 1DL United Kingdom School of Engineering and Science Victoria University Australia
This paper is devoted to robust adaptive sliding mode control for a class of nonlinear systems in the Takagi-Sugeno forms with mismatched parametric uncertainties. Sufficient conditions for the existence of linear sli... 详细信息
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Dynamic Population-based particle swarm optimization combined with crossover operator
Dynamic Population-based particle swarm optimization combine...
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2009 Ninth International Conference on Hybrid Intelligent systems(第九届混合智能系统国际会议 HIS 2009)
作者: Yanjiang Miao Zhihua Cui Jianchao Zeng Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi PR.China 030024
Particle swarm optimization (PSO) is a new swarm intelligent optimization technique. Although it maintains a fast convergent speed, it is still easy trapped into a local optimum when dealing with high-dimensional nume... 详细信息
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Inertia Weight Selection Strategy Based On Lyapunov Stability Analysis
Inertia Weight Selection Strategy Based On Lyapunov Stabilit...
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2009 Ninth International Conference on Hybrid Intelligent systems(第九届混合智能系统国际会议 HIS 2009)
作者: Weibing Fan Zhihua Cui Jianchao Ceng Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi PR.China 030024
In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed result... 详细信息
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Using Small-world Model to Improve the Performance of Alignment Particle Swarm Optimization
Using Small-world Model to Improve the Performance of Alignm...
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2009 Ninth International Conference on Hybrid Intelligent systems(第九届混合智能系统国际会议 HIS 2009)
作者: Xingjuan Cai Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi P.R.China 030024
Alignment particle swarm optimization (APSO) is a novel variant of particle swarm optimization aiming to improve the population diversity. The topology structure of APSO is gbest model. Since the small-world model is ... 详细信息
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