检索结果-内蒙古大学图书馆

第43届中国控制会议

作者： Tongxin Xu Ruichen Yu Zhiyuan Gao Xiaojin Zhu Hesheng Zhang School of Mechatronic Engineering and Automation Shanghai University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Sensors and actuators placements play an important role in the control performance of an active vibration control system for piezoelectric smart aero-engine blades. Incorrect placement of sensors and actuators may lead to instability in the control system. This paper proposes optimal placement methods based on the Particle Swarm Optimization(PSO) algorithm for actuators and sensors. Firstly, three sensors and actuators placement optimization schemes are proposed based on the modal analysis and transient analysis results of ANSYS. These schemes include the superposition of non-absolute normalized modal strains, the energy criterion for transient analysis, and the superposition of absolute normalized modal strains. Secondly, it is ensured that the placements of the MFC piezoelectric elements are optimized based on the Particle Swarm Optimization(PSO)algorithm and differential evolution(DE) algorithm within the boundary constraints. Finally, the convergence of the fitness function based on the PSO algorithm and the DE algorithm as well as the three schemes are comparatively analyzed and the optimal placement of the MFC is found. Simulation results show that the last scheme optimized based on the PSO algorithm has better convergence effect and can obtain the optimal placements of sensors and actuators.

关键词： Placement optimization Particle swarm optimization differential evolution algorithm Actuators and sensors

来源：评论

学校读者我要写书评

暂无评论

Order Sequencing Problem in a Robotic Mobile Fulfillment System

Order Sequencing Problem in a Robotic Mobile Fulfillment Sys...

引用

第34届中国控制与决策会议

作者： Hanqi Li Yaoxin Zhang Zhiguo Xiao Dongni Li School of Computer Science Beijing Institute of Technology College of Computer Science and Technology Changchun University Southeast Academy of Information Technology Beijing Institute of Technology

With rapid development of Business-to-Customer(B2 C) e-commerce,enormous goods assortment and fluctuated demand are presented in customer *** manual warehouses have the demerits of low picking efficiency and high human cost,which misfit B2 C *** resolve the difficulties,a Robotic Mobile Fulfillment System(RMFS) is introduced and *** paper studies the order sequencing problem in an RMFS with the situation that a rack can be reused among multiple picking stations in one rack *** order to solve the problem,a Q-learning-based differential evolution algorithm is *** with the existent algorithms,numerical experiments show that the proposed algorithm makes an evident improvement on order picking efficiency.

关键词： Robotic Mobile Fulfillment System order sequencing differential evolution algorithm Q-learning

来源：评论

学校读者我要写书评

暂无评论

Metaheuristic algorithms for the Quadratic Assignment Problem

Metaheuristic Algorithms for the Quadratic Assignment Proble...

引用

IEEE Symposium on Computational Intelligence In Production and Logistics Systems

作者： M. Fatih Tasgetiren Quan-Ke Pan P. N. Suganthan Ikbal Ece Dizbay Industrial Engineering Department Selcuk Yasar Campus Yasar University SKL of Synthetical Automation for Process Industries (Northeastern University) School of Electrical and Electronic Engineering Nanyang Technological University

ISBN: (纸本)9781467359047

This paper presents two meta-heuristic algorithms to solve the quadratic assignment problem. The iterated greedy algorithm has two main components, which are destruction and construction procedures. The algorithm starts from an initial solution and then iterates through a main loop, where first a partial candidate solution is obtained by removing a number of solution components from a complete candidate solution. Then a complete solution is reconstructed by inserting the partial solution components in the destructed solution. These simple steps are iterated until some predetermined termination criterion is met. We also present our previous discrete differential evolution algorithm modified for the quadratic assignment problem. The quadratic assignment problem is a classical NP-hard problem and its applications in real life are still considered challenging. The proposed algorithms were evaluated on quadratic assignment problem instances arising from real life problems as well as on a number of benchmark instances from the QAPLIB. The computational results show that the proposed algorithms are superior to the migrating birds optimization algorithm which appeared very recently in the literature. Ultimately, 7 out of 8 printed circuit boards (PCB) instances are further improved.

关键词： Quadratic assignment problem Iterated greedy algorithm differential evolution algorithm Migrating birds optimization

来源：评论

学校读者我要写书评

暂无评论

220kV City Power Grid Maximum Loadability Determination with Static Security-constraints

220kV City Power Grid Maximum Loadability Determination with...

引用

2016 International Conference on Power, Energy Engineering and Management (PEEM 2016)

作者： Ke-qiu WANG Si-guang SUN Hong-yi WANG Chang-xu JIANG Zhao-xia JING Guangzhou Electrical Designing Institute School of Electric Power Engineering South China University of Technology

City grid connecting urban residents to the electric power source via high-voltage transmission grid is a critical part of the power grid. As the urban electricity demand grows, how many electrical load city grids can supply is becoming a widely concerned problem. Various kinds of loadability problems in power system have been widely studied by several researchers during the past decades, including voltage stability, available transfer capability and power supply capability of distribution system, etc. But the existing studies and methods are not so applicative for the maximum loadability(ML) determination of 220kV city grid. In order to improve the calculation accuracy and to accelerate the calculation speed, a simplifying scheme is proposed to decouple 220kV city grids into different kinds of typical connection forms after comprehensive analysis of its connection structure. Then a non-linear mathematical model for maximum loadability determination of typical connection forms of 220kV city grid considering static security is derived from the optimal power flow(OPF) theories. According to the optimization model, a self-adaptive differential evolution algorithm with built-in Newton-Raphson(N-R) method is presented for searching the optimal solution. Finally, a case study is conducted to test the validity of the optimization model and the preciseness and efficiency of optimization algorithm.

关键词： Maximum loadability Non-linear optimization Static security-constraints differential evolution algorithm

来源：评论

学校读者我要写书评

暂无评论

Fuzzy PID coordinated turn control method for unmanned helicopters based on improved particle swarm optimization algorithm 23

Fuzzy PID coordinated turn control method for unmanned helic...

引用

Proceedings of the 2023 International Conference on Power, Communication, Computing and Networking Technologies

作者： Zhiyu Li Yike Song Congqing Wang Qilong Zhang Key Laboratory of Unmanned Aerial Vehicle Technology Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics China AVIC Shen Yang Aircraft Design and Research Institute China College of Automation Engineering Nanjing University of Aeronautics and Astronautics China

ISBN: (纸本)9781450399951

Due to the characteristics of nonlinearity and strong coupling, the control system for unmanned helicopters is challenging to design. Coordinated turn is a basic mode for unmanned helicopters to complete complex actions autonomously. To achieve higher control performance, this paper proposes a fuzzy PID coordinated turn control method based on improved particle swarm optimization (PSO) algorithm. Firstly, the mathematical model of an unmanned helicopter is established, and the control strategy of coordinated turn mode is analysed. Then, the attitude and altitude controllers based on fuzzy PID for coordinated turn are designed. In order to compensate for the shortcoming that quantization factors and proportional factors of fuzzy PID controllers depend too much on experience, the differential evolution (DE) method, local convergence judgement, and linearly decreasing inertia weight are presented as improvements to the PSO algorithm to optimize factors. Finally, the results of the simulation demonstrate that the position, speed and attitude of the unmanned helicopter can react quickly and the corresponding output value is accurate and stable in coordinated turn mode. So the coordinated turn control method for unmanned helicopters is proven to be feasible and effective.

关键词： Unmanned helicopter coordinated turn differential evolution algorithm fuzzy PID particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

Optimal sizing of distributed generations in a connected DC micro-grid with hybrid energy storage system

Optimal sizing of distributed generations in a connected DC ...

引用

IEEE Energy Conversion Congress and Exposition

作者： N. Meng P. Wang H. Wu W. Wang W. Xu Sch. of Electr. Eng. & Autom. Harbin Inst. of Technol. Harbin China

ISBN: (纸本)9781467371520

This paper presents a model for calculating the optimal size of a grid connected DC micro-grid. Considering the differences between DC micro-grid and general AC micro-grid and the operating mode of the DC micro-grid system with hybrid energy storage system, the sum of the total capital, operational and maintenance cost of distributed generations (DGs) are set as the optimal objective. A numerical example is researched with the application of differential evolution algorithm. The optimum solution for sizing combination of DC micro-grid with hybrid energy storage system is obtained and compared with single battery storage, and the results verified the better performance of hybrid energy storage.

关键词： DC micro-grid differential evolution algorithm hybrid energy storage system optimal sizing

来源：评论

学校读者我要写书评

暂无评论

DE Based Q-learning algorithm to Improve Speed of Convergence In Large Search Space Applications

DE Based Q-learning Algorithm to Improve Speed of Convergenc...

引用

International Conference on Electronic Systems, Signal Processing and Computing

作者： Zenefa Rahaman Jaya Sil Dept. of Computer Science and Technology Bengal Engineering and Science University Shibpur Howrah India

ISBN: (纸本)9781479921041

The main drawback of reinforcement learning is that it learns nothing from an episode until it is over. So the learning procedure is very slow in case of large space applications. differential evolution (DE) algorithm is a population-based evolutionary optimization algorithm able to learn the search space in iterative way. In the paper, improvement of Q-learning method has been proposed using DE algorithm where guided randomness has been incorporated in the search space resulting fast convergence. Markov Decision Process (MDP), a mathematical framework has been used to model the problem in order to learn the large search space efficiently. The proposed algorithm exhibits better result in terms of speed and performance compare to basic Q-learning algorithm.

关键词： differential evolution algorithm Q-Learning algorithm Markov Decision Process Convergence

来源：评论

学校读者我要写书评

暂无评论

A New Uncertain Programming Model for Grain Supply Chain Design

A New Uncertain Programming Model for Grain Supply Chain Des...

引用

The Eleventh International Conference on Information and Management Sciences(IMS2012) in Celebrating of the 60th Birthday of Prof.Shu-Cherng Fang

作者： Sibo Ding School of Management,Henan university of technology,Zhengzhou 450001,China

Grain supply chain design is one of the important and challenging problems in the field of agri-food supply chain *** paper presents an uncertain grain supply chain model in which the quantity of grain sold by famers,setup costs of factories and stores are uncertain variables rather than random variables and fuzzy *** model can be transformed into a deterministic form by taking operational law of uncertainty ***,a hybrid intelligent algorithm to solve this model is given by integrating 99-method and differential evolution ***,a numerical example is presented in order to illustrate the effectiveness of hybrid intelligent algorithm.

关键词： grain supply chain uncertain programming uncertainty theory differential evolution algorithm

来源：评论

学校读者我要写书评

暂无评论

Neuroevolutive algorithms Applied for Modeling Some Biochemical Separation Processes

Neuroevolutive Algorithms Applied for Modeling Some Biochemi...

引用

作者： Silvia Curteanu Elena-Niculina Dragoi Alexandra Cristina Blaga Anca Irina Galaction Dan Cascaval

Combining artificial neural networks with evolutive/bioinspired approaches is a technique that can solve a variety of issues regarding the topology determination and training for neural networks or for process optimization. In this chapter, the main mechanisms used in neuroevolution are discussed and some biochemical separation examples are given to underline the efficiency of these tools. For the current case studies (reactive extraction of folic acid and pertraction of vitamin C), the bioinspired metaheuristic included in the neuroevolutive procedures is represented by differential evolution, an algorithm that has shown a great potential to solve a variety of problems from multiple domains. less

关键词： Neural Network Model differential evolution algorithm Reactive extraction Pertraction

来源：评论

学校读者我要写书评

暂无评论

Application of algorithm used in Community Detection of Complex Network

引用

INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING 2013年第4期6卷 219-229页

作者： Wang, Guoshun Zhang, Xuan Jia, Guanbo Ren, Xiaoping Cent South Univ Changsha 410083 Hunan Peoples R China Natl Inst Metrol Beijing 100013 Peoples R China

A new algorithm named differential evolution algorithm for Community Detection (DEACD) was proposed in the paper. DEACD used DE as its search engine and used the network modularity as the fitness function to search for an optimal community partition of a network. In this algorithm, there is a modified binomial crossover mechanism to transmit some important information about the community structure in evolution effectively. In addition, a biased process and clean-up operation were employed in DEACD to improve the quality of the community partitions detected in evolution. Experimental results showed that DEACD has very competitive performance compared with other state-of-the-art community detection algorithms. In the process of evolution, the colony evolution was conducted under DE scheme, the network modularity was used to evaluate the fitness of individuals in the colony. The performance of DECD was analyzed by computer generated network and real-world network examples. The algorithm was implemented using matlab Genetic algorithm Optimization Toolbox (GAOT), and the parametric analysis was performed in the experiment.

关键词： Complex Network differential evolution algorithm Community Detection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：