Junjia Wang - IEEE Xplore Author Profile

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Author details

Junjia Wang

Publications

5

Citations

14

Publications by Year

20182024

Co-Authors:

Hui ChenPeng FuRui GuanFei GuoHejun Hu

Show All Co-Authors (11)

Junjia Wang

Affiliation

Institutes of Plasma Physics

Hefei Institutes of Physical Science

Chinese Academy of Sciences, Hefei, China

Publication Topics

Current Harmonics,
High-voltage Power Supply,
Transformer,
Activation Function,
AdaGrad,
Adaptive Learning Rate,
Balance Of System,
Constant Coefficient,
Continuous Conduction Mode,
Copper Loss,
Current Flow,
DC Voltage

Biography

Junjia Wang was born in Anhui, China, in 1986. She received the B.S. degree in automation from Anhui Jianzhu University, Hefei, China, in 2006, and the M.S. degree in electrical theory and new technology from the Chinese Academy of Sciences, Hefei, in 2010, where she is currently pursuing the Ph.D. degree in nuclear science and engineering with the Institute of Plasma Physics.,Her current research interests include the characteristics analysis of power supplies and their control systems.(Based on document published on 21 March 2019).

Publications

5

Citations

14

Publications by Year

20182024

Co-Authors:

Hui Chen
Peng Fu
Rui Guan
Fei Guo
Hejun Hu

Show All Co-Authors (11)

Author's Published Works

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Showing 1-25 of 3,675 resultsfor "Index Terms":Genetic Simulated Annealing Algorithm

Conferences (3,101)

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Hybrid Genetic Tabu Search Simulated Annealing Algorithm and its application in vehicle routing problem with time windows

Mengzhu Shi;Qingguo Lin;Qiang Zhang;Huanhong Zhao

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

Year: 2011 | Conference Paper |

Cited by: Papers (3)

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A detail analysis of VRPTW and the condition for the investigation of VRPTW is proposed following with some related mathematics models. For the characteristics of the VRPTW, GTSA algorithm is designed combined with the Tabu Search algorithm and Simulated Annealing algorithm. Finally, an instance is presented to validate the three algorithms GA, GSA and GTSA by MATLAB and some comparisons between t...Show More

Hybrid Genetic Tabu Search Simulated Annealing Algorithm and its application in vehicle routing problem with time windows

Mengzhu Shi;Qingguo Lin;Qiang Zhang;Huanhong Zhao

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

Year: 2011 | Conference Paper |

Research on Reactive Power Optimization based on Adaptive Genetic Simulated Annealing Algorithm

Keyan Liu;Wanxing Sheng;Yunhua Li

2006 International Conference on Power System Technology

Year: 2006 | Conference Paper |

Cited by: Papers (7)

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This paper proposes the integration of simulated annealing into an adaptive genetic algorithm in order to solve reactive power optimization problems. The idea of using a genetic algorithm as global search strategy while simulated annealing is used local improvements, helps to improve the optimization if done appropriately. The decimal encoding and decoding are used. The flow chart of proposed algo...Show More

Research on Reactive Power Optimization based on Adaptive Genetic Simulated Annealing Algorithm

Keyan Liu;Wanxing Sheng;Yunhua Li

2006 International Conference on Power System Technology

Year: 2006 | Conference Paper |

Adaptive genetic simulated annealing algorithm for WSNs

Ying Huang;Shijue Zheng;Ping zhang;Xiaoping Qin

2010 2nd International Conference on Computer Engineering and Technology

Year: 2010 | Conference Paper |

Cited by: Papers (2)

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There is a growing concern about how to extend the lifetime of the wireless sensor networks. Higher power cluster heads are used to prolong the lifetime of wireless sensor networks. Cluster heads from a network among themselves to transmit data to the base station. In this paper, we assume that the lifetime of a network is determined mainly by the lifetime of cluster heads. we have proposed an eff...Show More

Adaptive genetic simulated annealing algorithm for WSNs

Ying Huang;Shijue Zheng;Ping zhang;Xiaoping Qin

2010 2nd International Conference on Computer Engineering and Technology

Year: 2010 | Volume: 4 | Conference Paper |

The Optimization Solution in the Ordering and Transporting of Steel Tube Based on Genetic Simulated Annealing Algorithm

Helei Wu;Shuyun Zhu;Lingyan Hu;Qingquan Wang

2008 Fourth International Conference on Natural Computation

Year: 2008 | Conference Paper |

Cited by: Papers (2)

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It's a complex nonlinear programming problem to find the optimization parameter in the ordering and transporting of steel tube. In this paper a second time programming model for ordering and transporting of steel tubes is developed for nonlinear relation between transport cost and path length, demand of destinations and unknown price of goods. The method by means of genetic algorithm to solve the ...Show More

The Optimization Solution in the Ordering and Transporting of Steel Tube Based on Genetic Simulated Annealing Algorithm

Helei Wu;Shuyun Zhu;Lingyan Hu;Qingquan Wang

2008 Fourth International Conference on Natural Computation

Year: 2008 | Volume: 1 | Conference Paper |

Partial Mutation in GA a Novel Proposed Algorithm to Solving Complex Problem

Hamed Komari Alaei;Morteza Khademi

2010 International Conference on Intelligent Computing and Cognitive Informatics

Year: 2010 | Conference Paper |

Cited by: Papers (1)

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The genetic algorithm is a powerful method to analyze many complex issue, especially in the optimization problems. The main challenges of genetic algorithm are premature convergence on local minimum and long convergence time. In this paper, a new genetic algorithm, named partial mutation in GA (PMGA) is proposed for tackling of these problems. PMGA is using elitism selection and improved mutation ...Show More

Partial Mutation in GA a Novel Proposed Algorithm to Solving Complex Problem

Hamed Komari Alaei;Morteza Khademi

2010 International Conference on Intelligent Computing and Cognitive Informatics

Year: 2010 | Conference Paper |

Application of BP neural network optimized by genetic simulated annealing algorithm to prediction of air quality index in Lanzhou

Zhou Kang;Zhiyi Qu

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)

Year: 2017 | Conference Paper |

Cited by: Papers (32)

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It is of great significance to carry out cities' air quality forecasting work for the prevention of the air pollution in urban areas and to the improvement of the living environment of urban residents. The air quality index (AQI) is a dimensionless index that quantitatively describes the state of air quality. In this paper, the data of air quality in Lanzhou released by china air quality online mo...Show More

Application of BP neural network optimized by genetic simulated annealing algorithm to prediction of air quality index in Lanzhou

Zhou Kang;Zhiyi Qu

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)

Year: 2017 | Conference Paper |

On-line distribution of coordinated attack targets for multi-anti-ship missiles based on genetic simulated annealing algorithm

Liu Suyun;Ruan Wenhua;Qiu Likuan;Meng Wanli;Qin Xiaotian;Shu Chuanliang

2019 Chinese Control And Decision Conference (CCDC)

Year: 2019 | Conference Paper |

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In the case of coordinated combat, Multi-Missiles Cooperative Targets Assignment(MMCTA)of anti-ship missiles attack aircraft carrier fleet, comprehensively consider various factors affecting the operational effectiveness of anti-ship missile, and construct a missile-target distribution optimization model and Combat effectiveness evaluation index calculation model. In addition, the offline-MMCTA ca...Show More

On-line distribution of coordinated attack targets for multi-anti-ship missiles based on genetic simulated annealing algorithm

Liu Suyun;Ruan Wenhua;Qiu Likuan;Meng Wanli;Qin Xiaotian;Shu Chuanliang

2019 Chinese Control And Decision Conference (CCDC)

Year: 2019 | Conference Paper |

A Comparison of Heuristic Search Algorithms for Predicting the Effort Component of Software Projects

2008 International Conference on Computational Intelligence for Modelling Control & Automation

Year: 2008 | Conference Paper |

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This paper presents a new model to calculate the effort component of a software project. To find the optimal values of the parameters of the proposed model, this study used genetic algorithm (GA), simulated annealing (SA) and tabu search (TS) based algorithms. The results of the heuristic algorithms used are also compared.Show More

A Comparison of Heuristic Search Algorithms for Predicting the Effort Component of Software Projects

2008 International Conference on Computational Intelligence for Modelling Control & Automation

Year: 2008 | Conference Paper |

Research of the AP Optimize Method Based on Genetic Simulated Annealing Algorithm

Ming Liu;Bing-kun Gao;Jia Lv;Hong Du

2009 Second International Conference on Information and Computing Science

Year: 2009 | Conference Paper |

Cited by: Papers (1)

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Based on simulated annealing genetic algorithm to optimize the AP method was proposed, the location and number of AP achieved to optimization, obtained the optimization goal of reaching the maximum coverage with at least number of AP. By improving the crossover to implement the optimal retain strategy, speed up the convergence of the algorithm and avoid a premature.Show More

Research of the AP Optimize Method Based on Genetic Simulated Annealing Algorithm

Ming Liu;Bing-kun Gao;Jia Lv;Hong Du

2009 Second International Conference on Information and Computing Science

Year: 2009 | Volume: 2 | Conference Paper |

Genetic Simulated Annealing Algorithm Used for PID Parameters Optimization

Jiajia Wang;Guoqing Jin;Yaqun Wang;Xiaozhu Chen

2009 International Conference on Artificial Intelligence and Computational Intelligence

Year: 2009 | Conference Paper |

Cited by: Papers (3)

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A type of genetic simulated annealing algorithms (GSAAs) is presented, which is used to optimize the parameters of proportional-integral-derivative (PID) controllers. This approach combines the merits of genetic algorithms (GAs) and simulated annealing algorithms (SAAs). By integrating the global search ability of GA with the local search ability of SAA, the search ability of GSAA is much stronger...Show More

Genetic Simulated Annealing Algorithm Used for PID Parameters Optimization

Jiajia Wang;Guoqing Jin;Yaqun Wang;Xiaozhu Chen

2009 International Conference on Artificial Intelligence and Computational Intelligence

Year: 2009 | Volume: 1 | Conference Paper |

An Effective Hybrid Genetic Simulated Annealing Algorithm for Process Planning Problem

Kunlei Lian;Chaoyong Zhang;Xinyu Li;Liang Gao

2009 Fifth International Conference on Natural Computation

Year: 2009 | Conference Paper |

Cited by: Papers (3) | Patents (2)

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Process planning is an essential part for a Computer Aided Process Planning (CAPP) system in the dynamic workshop environment. It is a combinatorial optimization problem to conduct operations selection and operations sequencing simultaneously with various constraints deriving from practical workshop environment as well as the part to be processed. In this paper, a hybrid genetic simulated annealin...Show More

An Effective Hybrid Genetic Simulated Annealing Algorithm for Process Planning Problem

Kunlei Lian;Chaoyong Zhang;Xinyu Li;Liang Gao

2009 Fifth International Conference on Natural Computation

Year: 2009 | Volume: 5 | Conference Paper |

A New Trajectory Planning Method of Redundant Manipulator Based on Adaptive Simulated Annealing Genetic Algorithm (ASAGA)

Yonggang Peng;Wei Wei

2006 International Conference on Computational Intelligence and Security

Year: 2006 | Conference Paper |

Cited by: Papers (9)

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In this paper, the adaptive simulated annealing genetic algorithm (ASAGA) is presented by integrating the advantages of adaptive mechanics, simulated annealing algorithm and simple genetic algorithm (SGA). More successful result is got in manipulator trajectory planning using ASAGA compared with simple genetic algorithm. The experiment results show that the method can be used in manipulator trajec...Show More

A New Trajectory Planning Method of Redundant Manipulator Based on Adaptive Simulated Annealing Genetic Algorithm (ASAGA)

Yonggang Peng;Wei Wei

2006 International Conference on Computational Intelligence and Security

Year: 2006 | Volume: 1 | Conference Paper |

A MapReduce Enabled Simulated Annealing Genetic Algorithm

Luokai Hu;Jin Liu;Chao Liang;Fuchuan Ni

2014 International Conference on Identification, Information and Knowledge in the Internet of Things

Year: 2014 | Conference Paper |

Cited by: Papers (1)

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Intelligent algorithms such as genetic algorithms and simulated annealing algorithms have widely been applied to the field of large scale data analysis and data processing. It is potential for the high-performance distributed computing technologies or platforms to further increase the execution efficiency of these traditional intelligent algorithms. Against this background, we propose a novel MapR...Show More

A MapReduce Enabled Simulated Annealing Genetic Algorithm

Luokai Hu;Jin Liu;Chao Liang;Fuchuan Ni

2014 International Conference on Identification, Information and Knowledge in the Internet of Things

Year: 2014 | Conference Paper |

Heuristic Algorithms for Power Amplifier Behavioral Modeling

P. L. Gilabert;D. D. Silveira;G. Montoro;M. E. Gadringer;E. Bertran

IEEE Microwave and Wireless Components Letters

Year: 2007 | Volume: 17, Issue: 10 | Journal Article |

Cited by: Papers (15)

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This letter presents the use of two heuristic search algorithms, named simulated annealing and genetic algorithms, for the extraction of power amplifier (PA) behavioral model parameters. Their application in this letter consists in determining the memory length and the most significant delays of the considered model structure. Two PA behavioral models have been considered: an augmented nonlinear m...Show More

Heuristic Algorithms for Power Amplifier Behavioral Modeling

P. L. Gilabert;D. D. Silveira;G. Montoro;M. E. Gadringer;E. Bertran

IEEE Microwave and Wireless Components Letters

Year: 2007 | Volume: 17, Issue: 10 | Journal Article |

Designing of Multi-objective Simulated Annealing Algorithm tuned PID controller for a temperature control system

Ruchi Bansal;Mohit Jain;Bharat Bhushan

2014 6th IEEE Power India International Conference (PIICON)

Year: 2014 | Conference Paper |

Cited by: Papers (5)

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In spite of new advanced control techniques have been developed, Proportional-Integral-Derivative (PID) controllers are still popular in industrial control systems. But tuning of parameters for these controllers is an important matter of concern. This paper presents an intelligent approach to tune PID parameters using Multi-objective Simulated Annealing Algorithm (MOSA) and the performance of MOSA...Show More

Designing of Multi-objective Simulated Annealing Algorithm tuned PID controller for a temperature control system

Ruchi Bansal;Mohit Jain;Bharat Bhushan

2014 6th IEEE Power India International Conference (PIICON)

Year: 2014 | Conference Paper |

Application of modified Stribeck model and simulated annealing genetic algorithm in friction parameter identification

Haichen Guo;Boyan Zhou;Pingping Yang;Xincheng Gu

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

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Friction is quite common and inevitable in physical environments. During the process of friction, vibration and collision will bring large deviations to identification results. In this paper, friction process with the influence of vibration and collision as well as data collection are implemented. In terms of friction model, according to the theory of Fourier series, we can introduce sine filter t...Show More

Application of modified Stribeck model and simulated annealing genetic algorithm in friction parameter identification

Haichen Guo;Boyan Zhou;Pingping Yang;Xincheng Gu

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

Year: 2017 | Conference Paper |

An Isolation Niche Hybrid Genetic Algorithm Based on Simulated Annealing Method

Sun Yan;Sun Zheng;Huang Kun

2007 Chinese Control Conference

Year: 2007 | Conference Paper |

Cited by: Papers (1)

Simulated annealing and isolation niche are two helpful methods that can improve performance of genetic algorithm. These two ideas are well combined in this paper, at the same time, production mode of initial population, crossover operator and mutation operator are improved by using the global equilibrium design ideology of orthogonal experiment method and dual mutation operation. On this basis, a...Show More

An Isolation Niche Hybrid Genetic Algorithm Based on Simulated Annealing Method

Sun Yan;Sun Zheng;Huang Kun

2007 Chinese Control Conference

Year: 2007 | Conference Paper |

An SVD-based watermarking scheme using SA algorithm and compared to GA based method

Z. Kazemi;M. Vahedian;V. Asadpour

2011 19th Iranian Conference on Electrical Engineering

Year: 2011 | Conference Paper |

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Image watermarking, the process of embedding data into a cover image and extract watermark under different attacks, can be used primarily for copyright protection and other purposes. Two key components in watermarking are perceptual transparency and robustness of the watermark. A tradeoff between these two features exists, which can be introduced as an optimization problem. Simulated annealing and...Show More

An SVD-based watermarking scheme using SA algorithm and compared to GA based method

Z. Kazemi;M. Vahedian;V. Asadpour

2011 19th Iranian Conference on Electrical Engineering

Year: 2011 | Conference Paper |

Traffic Flow Forecasting Algorithm Using Simulated Annealing Genetic BP Network

Chungui Li;Shu'an Xu;Xin Wen

2010 International Conference on Measuring Technology and Mechatronics Automation

Year: 2010 | Conference Paper |

Cited by: Papers (8)

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Genetic back propagation (BP) neural network is fast, quick, steady in forecasting of traffic flow, and the result has lowly error ability. But it can easily cause premature convergence, and usually the solution we got is local optimal solution. For overcoming those drawbacks of Genetic BP neural network, we add Simulated Annealing Algorithm to the processing of GA, using the ability of Annealing ...Show More

Traffic Flow Forecasting Algorithm Using Simulated Annealing Genetic BP Network

Chungui Li;Shu'an Xu;Xin Wen

2010 International Conference on Measuring Technology and Mechatronics Automation

Year: 2010 | Volume: 3 | Conference Paper |

Hybrid Genetic Algorithm with SVM for Medical Data Classification

Brahim Sahmadi;Dalila Boughaci

2018 International Conference on Applied Smart Systems (ICASS)

Year: 2018 | Conference Paper |

Cited by: Papers (2)

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In medical data classification system, several parameters can affect its performance, notably, the quality of the features which poses problems in real applications. Some of the attributes are redundant while others are irrelevant, or are even unnecessary to the classification problem. Feature selection plays a crucial role in medical data analysis by identifying and removing irrelevant features f...Show More

Hybrid Genetic Algorithm with SVM for Medical Data Classification

Brahim Sahmadi;Dalila Boughaci

2018 International Conference on Applied Smart Systems (ICASS)

Year: 2018 | Conference Paper |

A combination of mixture Genetic Algorithm and Fuzzy C-means Clustering Algorithm

Su-hua Liu;Hui-fang Hou

2009 IEEE International Symposium on IT in Medicine & Education

Year: 2009 | Conference Paper |

Cited by: Papers (3)

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Firstly, the paper makes a briefly analysis and comment about the fuzzy c-means clustering algorithm. Then a new kind of hybrid genetic algorithm is proposed on the base of the combination of genetic algorithm and simulated annealing algorithm, and it is applied in fuzzy c-means clustering. It overcomes the locality and the Sensitivity to initial clustering central of fuzzy c-means clustering, by ...Show More

A combination of mixture Genetic Algorithm and Fuzzy C-means Clustering Algorithm

Su-hua Liu;Hui-fang Hou

2009 IEEE International Symposium on IT in Medicine & Education

Year: 2009 | Volume: 1 | Conference Paper |

Test Paper Generation Based on Improved Genetic Simulated Annealing Algorithm

Jun Zhao;Hong Wang

2022 12th International Conference on Information Technology in Medicine and Education (ITME)

Year: 2022 | Conference Paper |

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With the wide application of online examinations in colleges and universities, intelligent test paper generation technology has become a hot topic. In this paper, we propose an improved genetic simulated annealing algorithm (GSA) and apply it to the test paper generation process to improve the quality and speed of intelligent test paper generation. Firstly, we optimize the genetic operators in rea...Show More

Test Paper Generation Based on Improved Genetic Simulated Annealing Algorithm

Jun Zhao;Hong Wang

2022 12th International Conference on Information Technology in Medicine and Education (ITME)

Year: 2022 | Conference Paper |

A Multi-objective Genetic Algorithm Based on Simulated Annealing

Tang Xin-Hua;Chang Xu;Fang Zhi-Feng

2012 Fourth International Conference on Multimedia Information Networking and Security

Year: 2012 | Conference Paper |

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Combined the characteristic of simulated annealing, we propose a multi-objective genetic algorithm based on simulated annealing. We take the advantage of simulated annealing, improve the traditional multi-objective genetic algorithm, and avoid the premature convergence of the algorithm. Experimental results show that the improved algorithm improve the solution efficiency of the traditional multi-o...Show More

A Multi-objective Genetic Algorithm Based on Simulated Annealing

Tang Xin-Hua;Chang Xu;Fang Zhi-Feng

2012 Fourth International Conference on Multimedia Information Networking and Security

Year: 2012 | Conference Paper |

A new genetic simulated annealing algorithm for hardware-software partitioning

Lanying Li;Yanbo Song;Ming Gao

The 2nd International Conference on Information Science and Engineering

Year: 2010 | Conference Paper |

Cited by: Papers (2)

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To solve the hardware/software partitioning problem in embedded system, this paper proposed a new genetic simulated annealing algorithm (NGSA) which based on analysis of genetic algorithms and simulated annealing algorithm the main advantages and disadvantages. The genetic algorithm integrates the simulated annealing idea; niche technology is introduced to maintain population diversity; and the Me...Show More

A new genetic simulated annealing algorithm for hardware-software partitioning

Lanying Li;Yanbo Song;Ming Gao

The 2nd International Conference on Information Science and Engineering

Year: 2010 | Conference Paper |

A hybrid genetic algorithm for Bayesian network optimization

Jiaqi Zhao;Hongzhe Xu;Wen Li

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)

Year: 2014 | Conference Paper |

Cited by: Papers (2)

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To find an optimized structure in a Bayesian network is a NP problem. How to get a network with a high score is an important question. In this paper, we discuss some theories about Bayesian network study and propose a hybrid genetic algorithm HGA-BN for Bayesian network optimization. The algorithm is based on genetic algorithm, uses simulated annealing technology to select its children, and uses s...Show More

A hybrid genetic algorithm for Bayesian network optimization

Jiaqi Zhao;Hongzhe Xu;Wen Li

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)

Year: 2014 | Conference Paper |

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