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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1911-1920 订阅
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Apply inversion order number genetic algorithm to the job shop scheduling problem
Apply inversion order number genetic algorithm to the job sh...
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3rd International Conference on Genetic and Evolutionary Computing, WGEC 2009
作者: Yang, Xiaomei Zeng, Jianchao Liang, Jiye Complex System and Computer Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China College of Management Shanxi University Taiyuan China
Through analyzing the present genetic operators to solve the Job Shop Scheduling Problem, a inversion order number Genetic Algorithm is proposed. In view of the quality of the inversion order number, this algorithm me... 详细信息
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Preface
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Fuel Processing technology 2010年 第8期91卷 799-799页
作者: Guangwen Xu Chun-Zhu Li Kinya Sakanishi State Key Laboratory of Multiphase Complex System Institute of Process Engineering Chinese Academy of Sciences China Curtin Centre for Advanced Energy Science and Engineering Curtin University of Technology Australia Biomass Technology Research Center National Institute of Advanced Industrial Science and Technology Japan
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Design and Implementation of the Federation Load Simulator
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系统仿真技术 2009年 第1期5卷 23-27页
作者: 张静 张柯 State Key Laboratory for Complex System Simulation Beijing Institute of System Engineer Mechatronics and Automation School National University of Defense Technology
The importance and necessity of emulating the federation load during simulating was analyzed ***,the special federation load emulation tool,federation load simulator (FLS),was designed and implemented,by which all of ... 详细信息
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An extended artificial physics optimization algorithm for global optimization problems
An extended artificial physics optimization algorithm for gl...
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2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
作者: Xie, Liping Zeng, Jianchao College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi 030024 China
Artificial Physics Optimization (APO) algorithm inspired by natural physical forces is a population-based stochastic algorithm based on Physicomimetics framework. In this paper, an extended APO (EAPO) algorithm is pre... 详细信息
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Performance analysis of the artificial physics optimization algorithm with simple neighborhood topologies
Performance analysis of the artificial physics optimization ...
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2009 International Conference on Computational Intelligence and Security, CIS 2009
作者: Mo, Simin Zeng, Jianchao College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou Ganshu 730050 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi 030024 China
As a novel population-based optimization technique, the artificial physics optimization (APO) algorithm inspired by physics is presented recently[1-4]. Although it is characteristic of rapid convergence speed, it also... 详细信息
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Template-free Synthesis of a Novel 3D Cage-like Nanostructured α-Fe_2O_3
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Chemical Research in Chinese Universities 2009年 第6期25卷 963-965页
作者: YU Ran-bo LI Zhen-min WANG Dan XING Chao-jian LAI Xiao-yong XING Xian-ran Department of Physical Chemistry University of Science and Technology Beijing Beijing 100083 P. R. China State Key Laboratory of Multi-phase Complex System Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 P. R. China Key Laboratory of Ecologic & Recycle Metallurgy Ministry of Education University of Science and Technology Beijing Beijing 100083 P. R. China
Synthesis of inorganic nanostructures with specific size and well defined morphologies has attracted considerable attention due to their superior electrical, optical, magnetic, and chemical properties. Up to now, vari... 详细信息
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An improved particle swarm optimization with feasibility-based rules for constrained optimization problems
An improved particle swarm optimization with feasibility-bas...
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22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent systems, IEA/AIE 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 Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung 807 Taiwan
This paper presents an improved particle swarm optimization (IPSO) to solve constrained optimization problems, which handles constraints based on certain feasibility-based rules. A turbulence operator is incorporated ... 详细信息
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General framework of Artificial Physics Optimization Algorithm
General framework of Artificial Physics Optimization Algorit...
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World Congress on Nature & Biologically Inspired Computing (NaBIC)
作者: Liping Xie Jianchao Zeng Zhihua Cui Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China
This paper presents a general framework of physics-inspired method named artificial physics optimization (APO) Algorithm, a population-based, stochastic for multidimensional search and optimization. APO invokes a grav... 详细信息
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Stochastic Dynamic Step Length Particle Swarm Optimization
Stochastic Dynamic Step Length Particle Swarm Optimization
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International Conference on Innovative Computing, Information and Control (ICICIC)
作者: Xingjuan Cai Zhihua Cui Ying Tan Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China
Stochastic particle swarm optimization is a novel variant of particle swarm optimization that convergent to the global optimum with probability one. However, the local search capability is not always well in some case... 详细信息
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Stochastic velocity threshold inspired by evolutionary programming
Stochastic velocity threshold inspired by evolutionary progr...
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World Congress on Nature & Biologically Inspired Computing (NaBIC)
作者: Zhihua Cui Xingjuan Cai Jianchao Zeng Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China
Particle swarm optimization (PSO) is a new robust swarm intelligence technique, which has exhibited good performance on well-known numerical test problems. Though many improvements published aims to increase the compu... 详细信息
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