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31st Chinese Control Conference

作者： Wang Wanhui Pan Haipeng Xiao Liang Zhejiang Sci Tech Univ Inst Automat Hangzhou 310018 Zhejiang Peoples R China Zhejiang Sci Tech Univ Inst Mech & Elect Hangzhou 310018 Zhejiang Peoples R China

ISBN: (纸本)9789881563811

Traditional immune algorithm overcomes the defect of premature convergence, it keep the diversity of population in big range search space, but has slow convergence speed in small scope, and the manual experience values of crossover rate and mutation rate can directly affect the performance of optimization algorithm. chaos algorithm can get more accurate optimal result in small scope because of the ergodicity, values of crossover rate and mutation rate can be fine tuned by fuzzy system because of its uncertainty and adaptability. In order to overcome the shortage of traditional immune algorithm, this paper, by analyzing the model of Heat-setting machine, proposes an immune algorithm based on fuzzy logic and chaos theory. The simulation results show that, compared with the immune algorithm based on chaos theory and the traditional immune algorithm, the immune algorithm based on fuzzy logic and chaos theory evidently improves the convergence speed, has good performance and much practical value because of higher precision and stronger stability.

关键词： Immune algorithm chaos optimization algorithm Fuzzy System Heat-setting machine

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Research on the Automatic and Optimized Pipe Routing Layout for Aero-engines Based on Improved Artificial Fish Swarm algorithm

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2nd International Conference on Industrial Design and Mechanics Power (ICIDMP 2013)

作者： Zhang, Yu Bai, Xiaolan Northeastern Univ Sch Mech Engn & Automat Shenyang 110819 Peoples R China

ISBN: (纸本)9783037858967

With the rapid development of aerospace industries, how to realize the automatic and optimized pipe-routing layout for the aero-engine has become a hot issue to be urgently solved. For the issue, a novel automatic and optimized pipe-routing layout method based on the improved artificial fish swarm algorithm was put forward in this paper. First, the mathematical model of the pipe-routing layout problem was established. Then, in view of the deficiencies of the artificial fish swarm algorithm, chaos mutation was used to carry out easy and rapid searching as well as robust escape from the local optimum, and gradient setting was used to raise the convergence speed and the solving accuracy. Further, the improved artificial fish swarm algorithm was applied to the pipe-routing layout for the aero-engine. At the end, the effectiveness and feasibility of the proposed method was proved by a case study.

关键词： Aeroengine Pipe-routing layout Artificial fish swarm algorithm chaos optimization algorithm

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An improved chaos optimization algorithm and its application in the economic load dispatch problem

An improved chaos optimization algorithm and its application...

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2nd International Conference on Dynamics, Vibration and Control

作者： Han, Fang Lu, Qi-Shao Beijing Univ Aeronaut & Astronaut Sch Sci Beijing 100083 Peoples R China

This paper reforms the Mutative Scale chaos optimization algorithm (MSCOA). Numerical simulation demonstrates that the efficiency and performance of the algorithm are improved. An analysis of the Improved Mutative Scale chaos optimization algorithm (IMSCOA) is also given. IMSCOA is applied to examples of economic load dispatch, considering both the valve point effect and transmission loss. The results are compared with those computed by other methods, including MSCOA and another effective chaos algorithm - CROA. It is shown that IMSCOA provides more optimal results than the other methods, whether or not the problem is large scale. This demonstrates the efficiency and practicability of IMSCOA in engineering practice.

关键词： chaos optimization algorithm economic load dispatch IMSCOA valve point effect transmission loss

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Targets Assignment for Cooperative Multi-UAVs Based on chaos optimization algorithm

Targets Assignment for Cooperative Multi-UAVs Based on Chaos...

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9th International Conference for Young Computer Scientists

作者： Ou, Wei Zou, Fengxing Xu, Xiaohong Gao, Zheng Natl Univ Def Technol Coll Mechatron Engn & Automat Dept Automat Control Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781424441983

Targets assignment is one of crucial problem for multi-UAVs cooperative campaign. By taking furthest campaign benefit and survival probability of UAVs as objective function, the mathematics model of targets assignment is formulated in this paper, and an approach solving targets assignment problem based on chaos optimization is proposed, whereas a new encoding method is introduced, chaos search queues is mapped to solution space of targets assignment problem effectively by defining exchange, shift and insertion operators, and an correcting method is applied to keep the validity of solutions. Finally, the efficiency of the proposed algorithm is demonstrated by computer simulations.

关键词： UAV targets assignment chaos optimization algorithm encoding method

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Wavelet Neural Network Based on chaos Genetic algorithm

Wavelet Neural Network Based on Chaos Genetic Algorithm

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2013 Asian Pacific Conference on Mechatronics and Control Engineering(APCMCE 2013)

作者： Hu-cheng Zhao XiJing College

To improve the performance of Wavelet Neural Network(WNN),a hybrid WNN learning algorithm,which is combination of Genetic algorithm(GA) and chaos optimization algorithm(COA) in a mutual complementarity manner,is proposed. In the algorithm,GA is first used to roughly search the optimal parameters of WNN as a whole,and then COA is adopted to perform the refined search on the basis of the result obtained by GA,which can make remarkable progress in modeling accuracy,learning speed,and overcoming local convergence or precocity. Simulation show its effectiveness.

关键词： Wavelet transform Neural network Genetic algorithm chaos optimization algorithm

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An improved chaos optimization algorithm and its application in the economic load dispatch problem

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INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS 2008年第6期85卷 969-982页

作者： Han, Fang Lu, Qi-Shao Beijing Univ Aeronaut & Astronaut Sch Sci Beijing 100083 Peoples R China

关键词： chaos optimization algorithm economic load dispatch IMSCOA valve point effect transmission loss

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An Integrated Model for Water Resources Allocation in the River Basin Based on Different Allocation Principles

An Integrated Model for Water Resources Allocation in the Ri...

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International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2012)

作者： Xiao, Chun Shao, Dongguo Yang, Fengshun Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430072 Peoples R China

ISBN: (纸本)9783037854860

Aiming at the existing problems in the models of water resources allocation, the concept of friendly allocation of water resources was put forward, and based on the principles of basic water use guarantee, preference of status in quo, fairness and high efficiency, the friendly subfunctions were established and an integrated model of water resources allocation was proposed with maximizing friendly function of water resources allocation. As a case study, the proposed allocation model was applied in Fuhuan River Basin in China, and the results indicated that the model was rational and effective, which provides a new method for water resources allocation in the river basin.

关键词： Water resources allocation Allocation principle Friendly function chaos optimization algorithm

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Study of intelligent optimization methods applied in the fractional Fourier transform

Study of intelligent optimization methods applied in the fra...

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International Conference on Building Materials and Structural Engineering (BMSE 2012)

作者： Wang, HanQing Wang, PingBo Wang, ShuZong Li, MaoLin Navy Univ Engn Wuhan Peoples R China

ISBN: (纸本)9783037853603

In order to overcome the inefficiency shortcoming of traditional step-based searching method for extremum seeking in two-dimensional fractional Fourier domain, some typical intelligent optimization methods such as genetic algorithms, continuous ant colony algorithm, particle swarm optimization and chaos optimization method are introduced and applied successfully in fractional Fourier transform. The performances of the global optimization methods are compared with step-based method based on simulation. Results show that the COA optimization algorithm is much more preferable considering computation efficiency, precision and resolution in all the above mentioned optimization methods.

关键词： the fractional Fourier transform genetic algorithms continuous ant colony algorithm particle swarm optimization chaos optimization algorithm extremum seeking

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Research on Neural Networks Learning algorithm Based on PSO and COA

Research on Neural Networks Learning Algorithm Based on PSO ...

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31st Chinese Control Conference

作者： Wang Chen Chen Zengqiang Nankai Univ Dept Automat Tianjin 300071 Peoples R China

ISBN: (纸本)9789881563811

To the shortcoming of BP algorithm that solution is sensitive to initial value and easy to trap in local optima, this paper makes a research on Particle Swarm optimization (PSO), chaos optimization algorithm (COA) and a modified chaos Particle Swarm optimization (CPSO) and applies them in neural networks learning problem. The mechanism of algorithms is explored in depth. A novel method of evaluating the degree of gathering for the swarm is proposed. The performance of algorithms is tested and analyzed by simulation and compared with BP algorithm. The results show that as novel neural networks learning algorithms, PSO and CPSO can overcome the defect of BP algorithm whose solution is sensitive to initial value and have the certain application value.

关键词： Neural Networks BP algorithm Particle Swarm optimization chaos optimization algorithm chaos Particle Swarm optimization Gather Value

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Component sizing optimization of plug-in hybrid electric vehicles

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APPLIED ENERGY 2011年第3期88卷 799-804页

作者： Wu, Xiaolan Cao, Binggang Li, Xueyan Xu, Jun Ren, Xiaolong Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Peoples R China

Plug-in hybrid electric vehicles (PHEVs) are considered as one of the most promising means to improve the near-term sustainability of the transportation and stationary energy sectors. This paper describes a methodology for the optimization of PHEVs component sizing using parallel chaos optimization algorithm (PCOA). In this approach, the objective function is defined so as to minimize the drivetrain cost. In addition, the driving performance requirements are considered as constraints. Finally, the optimization process is performed over three different all electric range (AER) and two types of batteries. The results from computer simulation show the effectiveness of the approach and the reduction in drivetrian cost while ensuring the vehicle performance. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： optimization Plug-in hybrid electric vehicle chaos optimization algorithm Component sizes All electric range Cost

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