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SPIE Optical Engineering + Applications

作者： Pan, Po-Hsuan Chen, Yi-Yung Whang, Allen Jong-Woei Photonics System Simulation and Design Laboratory Department of Electronic Engineering National Taiwan University of Science and Technology Taipei 106 Taiwan 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

ISBN: (纸本)9780819477132

For saving energy and healthy lighting, many researches focus on the sunlight illumination system. A Natural Light Guiding system can be separated into collecting, transmitting, and lighting parts. With a cascadable concentrator in the collecting part, the transmitting part will use large number of fibers. It means the most of cost is on the transmitting part. With an N to 1 coupler, the number of lightpipe can be reduced quickly. In general, the optical coupler is tapered structure. According to the Etendue principle, however, the product of beam angle and area is contact. The beam angle of coupled sunlight will increase that isn't easy coupled again and transmitted with long distance. The total energy of the exit beam from the N to 1 coupler should be bigger than the energy of one incident beam. In this paper, we use stepped structure to design an optical coupler for coupling N to 1. In the research, the Natural Light Guiding system with the optical coupler is simulated, and we evaluate the parameters of the stepped structure. Finally, we analyze the coupled efficiency of the coupler. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Lighting

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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

ISBN: (纸本)3642025676

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 into IPSO algorithm to overcome the premature convergence. At the same time, a set called FPS is proposed to save those P best locating in the feasible region. Different from the standard PSO, g best in IPSO is chosen from the FPS instead of the swarm. Furthermore, the mutation operation is applied to the P best with the maximal constraint violation value in the swarm, which can guide particles to close the feasible region quickly. The performance of IPSO algorithm is tested on a well-known benchmark suite and the experimental results show that the proposed approach is highly competitive, effective and efficient. © 2009 Springer Berlin Heidelberg.

关键词： Particle swarm optimization (PSO)

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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

ISBN: (纸本)9780769538730

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 different ways in FRIPSO algorithm. Constraint handling is based on simple feasibility-based rules without the use of a penalty function which is frequently cumbersome to parameterize, nor need it to guarantee the particles be in the feasible region at all time which turn out to cost much time sometimes. In order to improve the convergence speed of FRIPSO with the iteration growing and to find global optimum, the standard PSO is used to find a better position for the best history position of the swarm on the condition that the discrete value are same with those of gbest in each iteration. Two practical benchmark mixed-variable optimization problems are tested by our FRIPSO algorithm to demonstrate the effectiveness and robustness of the proposed approach. © 2009 IEEE.

关键词： Constraint handling

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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

ISBN: (纸本)9780819477132

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, such as traditional light sources and LED, to be the light source of illumination in the traffic tunnel. However, the best light source for the health of the human body is the natural light. If we can guide the sunlight into the tunnel to be lighting source, it would have a great benefit to the health of the human body. In this paper, we use Natural Light Guiding system to provide ecological illumination in traffic tunnel. The system has collecting, transmitting, and lighting parts. In the collecting part, we utilize a static concentrator to collect sunlight which is made up of a prismatic and cascadable unit. In the transmitting part, the collected sunlight is guided by optical fiber or lightpipe efficiently. In the lighting part, we design a lighting module of road lamp for lighting the inside the tunnel. The lighting module redistributes light to conform the traffic regulation. Finally, we build a model of traffic tunnel in optical software with Natural Light Guiding system to simulate the performance. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Light sources

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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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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Chao-Li Sun Jian-Chao Zeng Jeng-Shyang Pan Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China Shenzhen Graduate School Harbin Institute of Technology Shenzhen Guangdong China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung 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 different ways in FRIPSO algorithm. Constraint handling is based on simple feasibility-based rules without the use of a penalty function which is frequently cumbersome to parameterize, nor need it to guarantee the particles be in the feasible region at all time which turn out to cost much time sometimes. In order to improve the convergence speed of FRIPSO with the iteration growing and to find global optimum, the standard PSO is used to find a better position for the best history position of the swarm on the condition that the discrete value are same with those of g best in each iteration. Two practical benchmark mixed-variable optimization problems are tested by our FRIPSO algorithm to demonstrate the effectiveness and robustness of the proposed approach.

关键词： Particle swarm optimization Constraint optimization Optimization methods Paper technology Robustness Design optimization Switches Stochastic processes Control systems Chaos

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Application of the jury test in stability analysis of an explicit fourth-order staggered FDTD method

Application of the jury test in stability analysis of an exp...

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2008 Asia Pacific Microwave Conference, APMC 2008

作者： Fei, Xiao Guohong, Du Xiaohong, Tanga National Key Laboratory of High-Frequency Complex System School of Electronic Engineering University of Electronic Science and Technology of China ChengduSichuan China School of Electronic Engineering Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9781424426423

At present,the research on high-order accurate finite-difference time-domain (FDTD) method for the solution of Maxwell's equations is very *** example,an explicit fourth-order staggered FDTD method is proposed ***,to find out all roots of high-order characteristic polynomial equation for stability analysis is a very difficult *** this paper,the Jury test in automatic control theory is introduced,which only use those coefficients of the characteristic polynomial equation for stability analysis instead of directly solving *** treatment can greatly simplify the procedure of stability analysis. ©2008 IEEE.

关键词： Finite difference time domain method

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Aadaptive genetic algorithm based on real coded and its application

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Beijing Gongye Daxue Xuebao / Journal of Beijing University of technology 2007年第2期33卷 144-149页

作者： Gao, Xue-Jin Wang, Pu Sun, Chong-Zheng Yi, Jian-Qiang Zhang, Ya-Ting Zhang, Hui-Qing College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Laboratory of Complex System and Intelligence Science Chinese Acad. of Sci. Beijing 100033 China

To solve the problem of the premature convergence and the slow convergence of Genetic Algorithms, an adaptive Genetic Algorithms based on real coded (RAGA) was proposed to improve the coding modes, genetic operators, etc. Optimization simulation results based on typical complex functions show that the optimal convergence rate and global hitting probability of the proposed algorithm are much better than those of simple Genetic algorithms.

关键词： Genetic algorithms

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Modeling based on MOGA and the dynamic Ε -SVM for fermentation process

Modeling based on MOGA and the dynamic Ε -SVM for fermentat...

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6th World Congress on Intelligent Control and Automation, WCICA 2006

作者： Xuejin, Gao Pu, Wang Chongzheng, Sun Yating, Zhang Huiqing, Zhang Yi, Jianqiang College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Laboratory of Complex System and Intelligence Science Chinese Academy of Sciences Beijing 100033 China

ISBN: (纸本)1424403324

To found the suitable models to describe the behavior of biochemistry systems, the dynamic Ε -SVM method was proposed on the basis of SVM. Each training sample uses different error. The existed methods for selecting the parameters of SVM not only consume time, but also are difficult to find the optimal parameters. The optimal parameters were automatically decided by using multi-object Genetic Algorithm (MOGA). A new modeling method that combined MOGA with the dynamic Ε -SVM was presented. The model for penicillin titer preestimate was developed by it in Matlab6.5 with data collected from real plant. The model possesses the strong capability of fitting and generalization. Experiments show that the dynamic Ε -SVM is superior to the standard SVM modeling method. MOGA is very feasible and efficient too. ©2006 IEEE.

关键词： Fermentation

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Modeling Based on MOGA and the Dynamic ε -SVM for Fermentation Process

Modeling Based on MOGA and the Dynamic ε -SVM for Fermentat...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Xuejin Gao Pu Wang Chongzheng Sun Yating Zhang Huiqing Zhang Jianqiang Yi College of Electronic Information and Control Engineering Beijing University of Technology Beijing China The Key Laboratory of Complex System and Intelligence Science Chinese Academy and Sciences Beijing China

To found the suitable models to describe the behavior of biochemistry systems, the dynamic epsiv-SVM method was proposed on the basis of SVM. Each training sample uses different error. The existed methods for selecting the parameters of SVM not only consume time, but also are difficult to find the optimal parameters. The optimal parameters were automatically decided by using multi-object genetic algorithm (MOGA). A new modeling method that combined MOGA with the dynamic epsiv-SVM was presented. The model for penicillin titer pre-estimate was developed by it in Matlab 6.5 with data collected from real plant. The model possesses the strong capability of fitting and generalization. Experiments show that the dynamic epsiv-SVM is superior to the standard SVM modeling method. MOGA is very feasible and efficient too

关键词： Mathematical model Support vector machines Artificial neural networks Risk management Educational programs systems engineering education Genetic algorithms Computer languages Sun Educational institutions

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Effective method on modeling for fermentation process

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Beijing Gongye Daxue Xuebao / Journal of Beijing University of technology 2006年第5期32卷 405-409页

On the basis of the standard SVM for regression, the dynamic Ε-SVM method was proposed to establish precise mathematical models to describe the behavior of biochemistry systems, namely each training sample used different error. At the same time, an improved multi-objective Genetic Algorithm (MOGA) was used to automatically select the dynamic Ε-SVM parameters. A new modeling method that combined improved MOGA with dynamic Ε-SVM regression was presented. The model for titer pre-estimate was developed in Matlab6.5 with data collected from real plant. The model possessed the strong capability of fitting and generalization. It is shown that the method achieves significant improvement in the generalization performance in comparison with the modeling method based on MOGA and the standard SVM.

关键词： Fermentation

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