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5th International Conference on Applied Mathematics, simulation, Modelling, ASM'11

作者： Bai, Hanbin Wei, Jicai Complex Systems Simulation in the Science and Technology Complex Systems Simulation Laboratory Beijing Institute of System Engineer Post BOX. 9702#19 Beijing 100101 China

ISBN: (纸本)9781618040169

Focused on scale problems, this study demonstrated the importance of scale system selection, and necessity of scale system evaluation. The mutually exclusivity of complete consistency under different scale systems has been proved using mathematical contradiction method, and conclusions with practical significances has been obtained through experimental method in this study that the exponential scale is more reasonable than other scales in reciprocal scale system. Although there are some errors exist in the method used by this study, there are also certain practical significances for the analysis that how to increase the accuracy of AHP method.

关键词： Hierarchical systems

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Investigation of multiple-attribute decision making model based on uncertainty

Investigation of multiple-attribute decision making model ba...

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5th International Conference on Applied Mathematics, simulation, Modelling, ASM'11

ISBN: (纸本)9781618040169

There are many uncertainties in multiple-attribute decision making problems so that the reliability and correctness of decision making results depend on the scientifically and reasonably confirmation of attribute weights. Combination assigning method based on optimal eigenvectors which uses multi-objective optimization to integrate subjective and objective weightings was presented in the study so that the limitations of both subjective assigning method and objective assigning method have been overcome. Furthermore, decision making model based on TOPSIS method was also established to obtain more reasonable and scientific method of weightings confirmation method for multi-attribute decision making problems.

关键词： Multiobjective optimization

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The design and realization of comprehensive evaluation in the meta-synthetic integrated environment of stratagem research

The design and realization of comprehensive evaluation in th...

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5th International Conference on Applied Mathematics, simulation, Modelling, ASM'11

作者： Chu, Juntian Wei, Ji-Cai Cui, Hao Lv, Shao-Qing Zhao, Wei Dong, Jie Beijing Institute of System Engineer Science and Technology Complex Systems Simulation Laboratory Post Box.9702#19 Beijing 100101 China

ISBN: (纸本)9781618040169

When conducting researches upon stratagem problems under the meta-synthetic integrated environment of stratagem research (SR) with the combination of qualitative and quantitative methods, we have designed comprehensive evaluation service which takes the argumentation and evaluation procedure as its framework and establishes an analytical model for evaluation based on an evaluation index system to do data acquisition and mining among various evaluation resources, all of which helps realize the practical purpose of providing auxiliary information for quantitative decision making in the stratagem researches.

关键词： Data acquisition

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The design and realization of data accessing service in the meta-synthetic integrated environment of stratagem research

The design and realization of data accessing service in the ...

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5th International Conference on Applied Mathematics, simulation, Modelling, ASM'11

作者： Wei, Jicai Bai, Hanbin Zhao, Wei Ren, Tingguang Li, Junmei Beijing Institute of System Engineer Science and Technology on Complex Systems Simulation Laboratory Post Box.9702#19 Beijing 100101 China

ISBN: (纸本)9781618040169

Data accessing service is designed to meet the needs of searching and utilizing various data in the meta-synthetic integrated environment of stratagem research (SR) and meanwhile data fuzzy mining engine is supposed to refine the collected data to make them useful for the stratagem research. Also, for accessing and utilizing database, data accessing API is designed, which provides a uniform interface for all data accessing requests and with mapping function gets all data address and accessing transparent.

关键词： Application programming interfaces (API)

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Methods & application of evaluation modeling of multi-project and multi-attribute decision making

Methods & application of evaluation modeling of multi-projec...

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IASTED International Conference on Applied simulation and Modelling, ASM 2011

作者： Wei, Jicai Wang, Nuanchen Ren, Tingguang Zhang, Jing Li, Qiang Beijing Institute of System Engineer Science and Technology on Complex Systems Simulation Laboratory Post Box. 9702#19 Beijing 100101 China

ISBN: (纸本)9780889868939

Multi-project and multi-attribute decision making can be characterized as a process of overall coordination and optimization. Through the application analysis of decision making, the analysis process of decision making are projected on basis of targets, methods and evaluation;then with the combination of qualitative and quantitative methods and consideration of the features of exponential model, interval ergodic analysis method is proposed and finally established. The evaluation model to be structured on basis of the method gets multiple projects and attributes involved, and conducts ergodic calculation on condition of the given target criteria and certain region of each attribute so as to get the evaluation of the multiple projects accomplished. At last, a case study is provided in order to further elaborate the application of the analysis procedures of decision making and the interval ergodic analysis method in the multi-project and multi-attribute decision making.

关键词： Decision making

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PSO with constraint-preserving mechanism for mixed-variable optimization problems

PSO with constraint-preserving mechanism for mixed-variable ...

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1st International Conference on Robot, Vision and Signal Processing, RVSP 2011

作者： Sun, Chaoli Zeng, Jianchao Zhang, Yunqiang Pan, Jengshyang Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan

ISBN: (纸本)9780769545813

A new algorithm (called CPMPSO for short), in which PSO with constraint-preserving mechanism is used as a global search algorithm and PSO itself is used as local search one, is proposed in this paper to solve mixed-variable optimization problems. The values of non-continuous variables are got according to the velocity of the particle, the constraintpreserving method is used as the mechanism for handling the constraint violations, and the particle swarm optimization itself is used as local search algorithm to obtain the consistent optimal results for mixed-variable optimization problems. The performance of CPMPSO is evaluated against two real-world mixed-variable optimization problems, and it is found to be highly competitive compared with other existing algorithms. © 2011 IEEE.

关键词： Particle swarm optimization (PSO)

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Solving constrained optimization problems by an improved particle swarm optimization

Solving constrained optimization problems by an improved par...

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2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011

作者： Sun, Chaoli Zeng, Jianchao Chu, Shuchuan Roddick, John F. Pan, Jengshyang Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China School of Computer Science Engineering and Mathematics Flinders University Australia Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan

ISBN: (纸本)9781457712197

Constrained optimization problems compose a large part of real-world applications. More and more attentions have gradually been paid to solve this kind of problems. An improved particle swarm optimization (IPSO) algorithm based on feasibility rules is presented in this paper to solve constrained optimization problems. The average velocity of the swarm and the best history position in the particle's neighborhood are introduced as two turbulence factors, which are considered to influence the fly directions of particles, into the algorithm so as not to converge prematurely. The performance of IPSO algorithm is tested on 13 well-known benchmark functions. The experimental results show that the proposed IPSO algorithm is simple, effective and highly competitive. © 2011 IEEE.

关键词： Particle swarm optimization (PSO)

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Differential evolution with adaptive population size combining lifetime and extinction mechanisms

Differential evolution with adaptive population size combini...

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作者： Zhang, Chunmei Chen, Jie Xin, Bin Cai, Tao Chen, Chen School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China School of Electronic Information Engineering Taiyuan University of Science and Technology Shanxi China Department of Automation Tsinghua University Beijing China

ISBN: (纸本)9788995605646

Differential Evolution (DE) is a simple and efficient numerical optimization method. Most DE variants in the literature adopt fixed population size. This paper incorporates into DE the mechanisms of lifetime and extinction which regulate DE's population size in an adaptive manner. The population size is adjusted according to the online progress of fitness improvement. Two schemes of inserting new individuals are proposed to match different mechanisms respectively. The performance of these innovations is examined through the optimization of benchmark problems. The results show that the proposed adaptive population sizing strategy is efficient for improving the convergence and efficiency of the DE. © 2011 Asian Control Association.

关键词： Optimization

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PSO with Constraint-Preserving Mechanism for Mixed-Variable Optimization Problems

PSO with Constraint-Preserving Mechanism for Mixed-Variable ...

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International Conference on Robot, Vision and Signal Processing (RVSP)

作者： Chaoli Sun Jianchao Zeng Jengshyang Pan Yunqiang Zhang Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan

A new algorithm (called CPMPSO for short), in which PSO with constraint-preserving mechanism is used as a global search algorithm and PSO itself is used as local search one, is proposed in this paper to solve mixed-variable optimization problems. The values of non-continuous variables are got according to the velocity of the particle, the constraint-preserving method is used as the mechanism for handling the constraint violations, and the particle swarm optimization itself is used as local search algorithm to obtain the consistent optimal results for mixed-variable optimization problems. The performance of CPMPSO is evaluated against two real-world mixed-variable optimization problems, and it is found to be highly competitive compared with other existing algorithms.

关键词： Optimization Particle swarm optimization Programming Springs Stochastic processes Genetic algorithms

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The structure optimization of main beam for bridge crane based on an improved PSO

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Journal of Computers 2011年第8期6卷 1585-1590页

作者： Sun, Chaoli Tan, Ying Zeng, Jianchao Pan, Jengshyang Tao, Yuanfang 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 Mechanical and Electronic Engineering College Taiyuan University of Science and Technology Taiyuan Shanxi 030024 China

The structure optimization of main beam is a nonlinear constrained optimization problem, which is important for bridge crane to save manufacturing cost on quality assurance. The modified particle swarm optimization (MPSO) with feasibility-based rules [1], which was advanced to solve mixed-variable optimization problems, is proposed to optimize the structure of main beam in order to find the optimal parameters so as to make minimize the deadweight of main beam. The comparison results with the enumeration algorithm illustrated that MPSO can get best optimal solutions in much less calculation numbers. © 2011 ACADEMY PUBLISHER.

关键词： Quality assurance

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