高飞博士,教授,Marie-Curie Fellow,武汉理工大学应用数学专业硕士生导师,归国留学博士后、三站博士后出站。武汉理工大学理学院计算数学研究所副所长。
个人主页http://feigao.weebly.com
高飞同志从事主要群集智能、演化计算、量子智能算法、混沌控制与同步、混沌特征量的非Lyapunov分析方法等研究。近年来主持教育部归国留学基金项目1项;主持完成国家自然科学基金项目1项,主持完成中国博士后基金项目1项,主持完成湖北省自然科学基金项目1项;曾参与多项国家自然科学基金和省部级项目的研究。在国内外重要学术期刊及高水平国际会议上发表论文40篇,其中第一作者39篇次,有20余篇被三大检索收录(其中10篇SCI(含2篇SCI Ⅰ区论文,4篇SCI光盘)、10篇EI光盘、2篇EI扩展)。
2008.3-2009.3获得韩国政府Brain Korea 21 Century (BK21)奖学金项目资助,在KAIST 师从IEEE Fellow Prof. Ju-Jang Lee,从事计算智能及智能控制的博士后研究工作。2006.11-2008.3,2009.3-2009.6在武汉理工大学从事博士后研究,完成英文版博士后工作报告《Research on Some Intelligent Algorithms in Chaos Parameters' identification》。
2013.9晋升教授;2007.12破格晋升副教授;2004.10年被评为讲师。2006.6毕业于武汉理工大学流体力学专业,获工学博士学位,研究方向为混沌系统中的优化算法应用研究。博士论文题目是“混沌系统参数估计与控制的演化算法研究”。2002.6毕业于武汉大学数学与统计学院应用数学专业,获理学硕士学位;1999.6在武汉大学数学与计算机科学学院获理学学士学位。
高飞同志自2002年以来在武汉理工大学进行经济数学、微积分(国家精品课高等数学B主讲)、高等数学A\B、工程数学、概率统计、线性代数、复变函数与积分变换、最优化理论与方法、矢量分析等课程的教学与研究。
一、 获得学术奖励
[1] 2007.4被推荐参与湖北省省级优秀博士论文的评选
[2] 2005.6获湖北省省级优秀硕士论文
[3] 2007.2获武汉理工大学校级优秀博士论文
[4] 2002.1获武汉大学数学学子奖
[5] 2010.2指导学生参加美国大学生数学建模竞赛获美国一等奖
[6] 2009.10,2010.10指导学生参加全国大学生数学建模竞赛获国家二等奖
[7] 2007.10指导学生参加全国大学生数学建模竞赛获国家二等奖
[8] 2002.10指导学生参加全国大学生数学建模竞赛获国家二等奖
二、 承担科研项目情况
[1] 主持教育部(中国)留学科研启动基金“基于量子细菌趋化算法的非Lyapunov分析方法研究”起止时间:2010.6-2011.12
三、 申请人已完成的科学研究项目
[1] 主持完成中国博士后基金“基于量子智能计算的非Lyapunov 分析方法研究”(No. 20080431004)起止时间:2008.3-2009.6 (已结题)。
[2] 主持完成国家自然科学基金理论物理专款资助“博士研究人员启动项目”:“混沌控制与同步的演化算法研究”(No. 10647141)”,起止时间:2007.1-2007.12 (已结题)。
[3] 主持完成湖北省自然科学基金“混沌细菌趋化群智能优化算法研究”(No. 2009CBD213)起止时间:2009.7-2010.12(已结题)。
[4] 参与国家自然科学基金项目“基于多维矩阵的智能计算相关研究(No.60773210)”的研究工作,起止时间:2008.1-2010.12(已结题)。
[5] 主持2005年武汉理工大学教学研究基金项目“计算方法教学体系研究” (已结题)
[6] 主持2004-2006年武汉理工大学科学研究基金项目“计算离散动力系统周期轨道的精英子空间差异演化算法研究(XJJ2004113,已结题)”,武汉理工大学校大学生创新计划UIRT 2个(已结题)。
[7] 博士期间(2003.9-2006.6),随导师参与国家自然科学基金项目“消费心理分析中的顾客满意指数模型计算问题(30570611)”(起止时间:2005年1月至2007年12月,批准号:30570611)、科技部技术创新基金(02C26214200218,已结题)。
[8] 参与2003.1-2005.12参与湖北省教学管理与研究项目(No.2003051)“高等数学质量保证体系的研究与实践”,负责数据采集与基本框架设计(已结题)。
[9] 硕士期间(1999.9-2002.6),随导师参与国家自然科学基金资助项目(No.70171016)、亚太运筹中心资助项目、中国科学院管理决策与信息系统开放研究室资助项目的研究。
四、 近期发表的主要论著
How to: Click on the title of the paper of your interest to get more information about the paper, including an abstract, publication data, and a downloadable version (if available). Please send me an email to report any problems with the download or errors in text.
Journal Publications
1 Inversion mechanism with functional extrema model for identification incommensurate and hyper fractional chaos via differential evolution Original Research Article (SCI )
Expert Systems with Applications, Volume 41, Issue 4, Part 2, March 2014, Pages 1915-1927
Fei Gao, Feng-xia Fei, Xue-jing Lee, Heng-qing Tong, Yan-fang Deng, Hua-ling Zhao
2 Identification time-delayed fractional order chaos with functional extrema model via differential evolution Original Research Article(SCI )
Expert Systems with Applications, Volume 41, Issue 4, Part 2, March 2014, Pages 1601-1608
Fei Gao, Xue-jing Lee, Feng-xia Fei, Heng-qing Tong, Yan-fang Deng, Hua-ling Zhao
3 Identification of Unknown Parameters and Orders via Cuckoo Search Oriented Statistically by Differential Evolution for Noncommensurate Fractional-Order Chaotic Systems, Abstract and Applied Analysis(SCI ), Volume 2013 (2013), Article ID 382834, 19 pages, http://www.hindawi.com/journals/aaa/2013/382834/ ,
Fei Gao, Xue-Jing Lee, Heng-qing Tong, Feng-xia Fei, and Hua-ling Zhao,
4 Parameter identification for Van Der Pol–Duffing oscillator by a novel artificial bee colony algorithm with differential evolution operators Original Research Article(SCI )
Applied Mathematics and Computation, Volume 222, 1 October 2013, Pages 132-144
Fei Gao, Xue-jing Lee, Feng-xia Fei, Heng-qing Tong, Yi-bo Qi, Yan-fang Deng, Ilangko Balasingham, Hua-ling Zhao
5 A novel non-Lyapunov approach through artificial bee colony algorithm for detecting unstable periodic orbits with high orders Original Research Article (SCI )
Expert Systems with Applications, Volume 39, Issue 16, 15 November 2012, Pages 12389-12397
Fei Gao, Feng-xia Fei, Yan-fang Deng, Yi-bo Qi, Balasingham Ilangko
6 A novel artificial bee colony algorithm with space contraction for unknown parameters identification and time-delays of chaotic systems Original Research Article (SCI )
Applied Mathematics and Computation, Volume 219, Issue 2, 1 October 2012, Pages 552-568
Fei Gao, Feng-xia Fei, Qian Xu, Yan-fang Deng, Yi-bo Qi, Ilangko Balasingham
7 A Novel non–Lyapunov way for detecting uncertain parameters of chaos system with random noises (SCI )Original Research Article
Expert Systems with Applications, Volume 39, Issue 2, 1 February 2012, Pages 1779-1783
Fei Gao, Yibo Qi, Ilangko Balasingham, Qiang Yin, Hongrui Gao
8.Fei Gao, Ju-Jang Lee, Zhuoqiu Li, Hengqing Tong, and Xiaohong L\"{u}.
Parameter estimation for chaotic system with initial random noises by particle swarm optimization. {Chaos, Solitons\& Fractals},{doi:10.1016/j.chaos.2009.03.074} , (ISI Impact Factor: 3.315), Volume 42, Issue 2, 30 October 2009, Pages 1286-1291
9.Fei Gao, Hongrui Gao, Zhuoqiu Li, Hengqing Tong, and Ju-Jang Lee.
Detecting unstable periodic orbits of nonlinear mappings by a novel quantum-behaved particle swarm optimization non-lyapunov way. { Chaos, Solitons & Fractals},{doi:10.1016/j.chaos.2009.03.119}. (ISI Impact Factor: 3.315) , Volume 42, Issue 4, 30 November 2009, Pages 2450-2463
10.Gao F., Li Z. Q., Tong H. Q.
Parameters Estimation On-line for Lorenz System by A Novel Quantum-behaved Particle Swarm Optimization, Chinese Physics (ISI Impact Factor: 2.103 ) ,2008 17(4):1196-1201
11.Gao F., Tong H. Q.
Parameter estimation for chaotic system based on particle swarm optimization, Acta Physica Sinica vol.55, no.2: 577-82 Feb. 2006 (ISI Impact Factor: 1.277, SCI, ISI: 000235423300019$; EI, Accession number: 06109749092)
12.Gao F., Tong H. Q.
UEAS: A Novel United Evolutionary Algorithm Scheme, Lecture Notes in Computer Science (LNCS), vol 4234, pp 772-780, 2006. (SCI, ISI:$000241759000085$; EI, Accession number:$064610230630$)
13.Gao F., Tong H. Q.
Particle swarm optimization: An efficient method for tracing periodic orbits and controlling chaos, Dynamics of Continuous Discrete & Impulsive Systems B-Applications & Algorithms 13: 780-784 Part 2 Suppl. S, DEC 2006. (SCI: $000245061600072$)
14.Gao F., Tong H. Q.
Differential evolution: An efficient method inoptimal PID tuning and on-line tuning, Dynamics of Continuous Discrete & Impulsive Systems B-Applications & Algorithms 13: 785--789 Part 2 Suppl. S, DEC 2006. (SCI: $000245061600072$)
8.Gao F., Tong H. Q.
Computing Two Linchpins of Topological Degree by a Novel Differential Evolution Algorithm, International Journal of Computational Intelligence and Applications, vol.5, No.3: 335-350. 2005($doi:10.1142/S1469026805001647$)
15.Gao F.
Computing unstable Period orbits of discrete chaotic system though differential evolutionary algorithms basing on elite subspace, System Engineering Theory and Practice, v 25, n 4, April, 2005, p 96-102 (EI, Accession number:$05219119288$)
16.Gao F., Tong H. Q.
Nonlinear least squares estimation based on improved particle swarm optimization, Systems Engineering and Electronics vol.28, no.5 : 775-778, May 2006(Inspec,EI, Accession number: 06259949961)
17.Gao F.
Application of Differential Evolution Algorithms in Determining the Charge on an Electron, Computer Engineering and Applications, 2006,13,216-218.
18.Gao F., Tong H. Q.
Improved Particle Swarm Optimization Algorithm for Finding Roots of Equations, Journal of Wuhan University (Natural Science Edition), Vol. 52 No. 3, 296-300.
19.Gao F., Tong H. Q.
A Novel Extended Differential Evolutionary Algorithm and Its Applications, Journal of Wuhan University (Natural Science Edition), Vol. 51 No. 5 ,547-551.
20.Gao F., Zhong S.N., Ji C.M.
Self-Adaptive Hybrid Evolutionary Algorithms, Journal of Wuhan University (Natural Science Edition),2002,48(5): 533-538
21.Gao F., Zhong S.N., Ji C.M.
Research on fast evolutionary algorithm, Control and Decision ,2002,17(4): 480-483.( Inspec, Accession Number: 7417868)
22.Gao F., Zhong S.N., Ji C.M.
Genetic trust region algorithm, Journal of Mathematics, 2001,21(4): 468-472.
23.Gao F.
Simulations of Dynamical Behaviors for a New Discrete Chaotic System by Differential Evolutionary, Complex Systems and Complexity Science, 2004 Vol. 1 No. 4, 79-84
24.Gao F.
Differential Evolution Algorithms with Extinction Based on Space Contraction, Complex Systems and Complexity Science, 2004 Vol.1 No. 2, 87-92
25.Gao F.
A kind of conic model non--monotony trust region method and their convergence, Academic Research and Studies, 2004,4
Conference
1.F Gao, J-J Lee
A New Approach in Discrete Chaos System Control by Differential Evolution Algorithm, The IEEE International Conference on Industrial Informatics (INDIN 2008)DCC, Daejeon, Korea July 13-16, 2008, 1064-1068
2.F Gao, J-J Lee
A New Approach in Synchronization of Uncertain Chaos Systems Through Particle Swarm Optimization, The IEEE International Conference on Industrial Informatics (INDIN 2008)DCC, Daejeon, Korea July 13-16, 2008, 1069-1074
3.Gao F., Tong H. Q.
A Novel Optimal PID Tuning and On-line Tuning Based on Particle Swarm Optimization, Proc. of the Int. conf. on sensing, computing, and automation, Chongqing, China, 2006.5
4.Gao F.
A Novel Evolutionary Algorithm On Number Theoretic Net For Nonlinear Optimization, Proc. of the Int. Conf. on Advanced Design and Manufacture, Harbin, China, 2006.1, 706-710
5.Gao F., Tong H. Q.
Research on investigating the existence of function roots using Differential Evolution Algorithms , Proc. of Int. Conf. on Innovation and Management, Wuhan, China, 2005.10, 1292-1297
6.Gao F., Tong H. Q.
Control a Novel Discrete Chaotic System through Particle Swarm Optimization, Proc. of the 6th World Congress on Intelligent Control and Automation, Dalian, China, 2006.6, 3330-3334(EI, Accession number: $071510541840$)
7. Gao F. et. al, Solving problems in chaos control though an differential evolution algorithm with region zooming, 2011, Applied Mechanics and Materials, (Volumes 110 - 116),5048-5056
8. Gao F. et. al, A Novel Non-Lyapunov Approach in Discrete Chaos System with Rational Fraction Control by Artificial Bee Colony Algorithm(PIC-2010)
9. Gao F. et. al, An Artificial Bee Colony Algorithm for Unknown Parameters and Time-delays Identification of Chaotic Systems (5th ICCIT)
10. Gao F. et. al, Online synchronization of uncertain chaotic systems by artificial bee colony algorithm in a non-Lyapunov way (CiSE2010)
11. Gao F. et. al, An novel optimal PID tuning and on-line tuning based on artificial bee colony algorithm (CiSE2010)
12. Gao F. et. al, Bacterial Foraging Oriented by Differential Evolution Strategy (ICIECS 2010)
13. Gao F. et. al, A novel particle swarm optimization with special boundaries restriction strategy (ICISE2010)
14. Bacterial Foraging Optimization Oriented by Atomized Feature Cloud Model Strategy, The Proceedings of the 32nd Chinese Control Conference, Xi’an, China, July 26-28, 2013, 8032-8036.
Fei GAO, Feng-Xia FEI, Heng-qing TONG, Xue-jing LI
15. An Ant Colony Biological Inspired Way For Statistical Shortest Paths In Complex Brain Networks. In the Proc. of 7th IEEE/ACM Body Area Networks Conference (Bodynets), Oslo, Norway, Sept. 2012
Fei Gao, Feng-Xia Fei, and Ilangko Balasingham.
高飞同志从事主要群集智能、演化计算、量子智能算法、混沌控制与同步、混沌特征量的非Lyapunov分析方法等研究。近年来主持教育部归国留学基金项目1项;主持完成国家自然科学基金项目1项,主持完成中国博士后基金项目1项,主持完成湖北省自然科学基金项目1项;曾参与多项国家自然科学基金和省部级项目的研究。在国内外重要学术期刊及高水平国际会议上发表论文40篇,其中第一作者39篇次,有20余篇被三大检索收录(其中10篇SCI(含2篇SCI Ⅰ区论文,4篇SCI光盘)、10篇EI光盘、2篇EI扩展)。
2008.3-2009.3获得韩国政府Brain Korea 21 Century (BK21)奖学金项目资助,在KAIST 师从IEEE Fellow Prof. Ju-Jang Lee,从事计算智能及智能控制的博士后研究工作。2006.11-2008.3,2009.3-2009.6在武汉理工大学从事博士后研究,完成英文版博士后工作报告《Research on Some Intelligent Algorithms in Chaos Parameters' identification》。
2013.9晋升教授;2007.12破格晋升副教授;2004.10年被评为讲师。2006.6毕业于武汉理工大学流体力学专业,获工学博士学位,研究方向为混沌系统中的优化算法应用研究。博士论文题目是“混沌系统参数估计与控制的演化算法研究”。2002.6毕业于武汉大学数学与统计学院应用数学专业,获理学硕士学位;1999.6在武汉大学数学与计算机科学学院获理学学士学位。
高飞同志自2002年以来在武汉理工大学进行经济数学、微积分(国家精品课高等数学B主讲)、高等数学A\B、工程数学、概率统计、线性代数、复变函数与积分变换、最优化理论与方法、矢量分析等课程的教学与研究。
一、 获得学术奖励
[1] 2007.4被推荐参与湖北省省级优秀博士论文的评选
[2] 2005.6获湖北省省级优秀硕士论文
[3] 2007.2获武汉理工大学校级优秀博士论文
[4] 2002.1获武汉大学数学学子奖
[5] 2010.2指导学生参加美国大学生数学建模竞赛获美国一等奖
[6] 2009.10,2010.10指导学生参加全国大学生数学建模竞赛获国家二等奖
[7] 2007.10指导学生参加全国大学生数学建模竞赛获国家二等奖
[8] 2002.10指导学生参加全国大学生数学建模竞赛获国家二等奖
二、 承担科研项目情况
[1] 主持教育部(中国)留学科研启动基金“基于量子细菌趋化算法的非Lyapunov分析方法研究”起止时间:2010.6-2011.12
三、 申请人已完成的科学研究项目
[1] 主持完成中国博士后基金“基于量子智能计算的非Lyapunov 分析方法研究”(No. 20080431004)起止时间:2008.3-2009.6 (已结题)。
[2] 主持完成国家自然科学基金理论物理专款资助“博士研究人员启动项目”:“混沌控制与同步的演化算法研究”(No. 10647141)”,起止时间:2007.1-2007.12 (已结题)。
[3] 主持完成湖北省自然科学基金“混沌细菌趋化群智能优化算法研究”(No. 2009CBD213)起止时间:2009.7-2010.12(已结题)。
[4] 参与国家自然科学基金项目“基于多维矩阵的智能计算相关研究(No.60773210)”的研究工作,起止时间:2008.1-2010.12(已结题)。
[5] 主持2005年武汉理工大学教学研究基金项目“计算方法教学体系研究” (已结题)
[6] 主持2004-2006年武汉理工大学科学研究基金项目“计算离散动力系统周期轨道的精英子空间差异演化算法研究(XJJ2004113,已结题)”,武汉理工大学校大学生创新计划UIRT 2个(已结题)。
[7] 博士期间(2003.9-2006.6),随导师参与国家自然科学基金项目“消费心理分析中的顾客满意指数模型计算问题(30570611)”(起止时间:2005年1月至2007年12月,批准号:30570611)、科技部技术创新基金(02C26214200218,已结题)。
[8] 参与2003.1-2005.12参与湖北省教学管理与研究项目(No.2003051)“高等数学质量保证体系的研究与实践”,负责数据采集与基本框架设计(已结题)。
[9] 硕士期间(1999.9-2002.6),随导师参与国家自然科学基金资助项目(No.70171016)、亚太运筹中心资助项目、中国科学院管理决策与信息系统开放研究室资助项目的研究。
四、 近期发表的主要论著
How to: Click on the title of the paper of your interest to get more information about the paper, including an abstract, publication data, and a downloadable version (if available). Please send me an email to report any problems with the download or errors in text.
Journal Publications
1 Inversion mechanism with functional extrema model for identification incommensurate and hyper fractional chaos via differential evolution Original Research Article (SCI )
Expert Systems with Applications, Volume 41, Issue 4, Part 2, March 2014, Pages 1915-1927
Fei Gao, Feng-xia Fei, Xue-jing Lee, Heng-qing Tong, Yan-fang Deng, Hua-ling Zhao
2 Identification time-delayed fractional order chaos with functional extrema model via differential evolution Original Research Article(SCI )
Expert Systems with Applications, Volume 41, Issue 4, Part 2, March 2014, Pages 1601-1608
Fei Gao, Xue-jing Lee, Feng-xia Fei, Heng-qing Tong, Yan-fang Deng, Hua-ling Zhao
3 Identification of Unknown Parameters and Orders via Cuckoo Search Oriented Statistically by Differential Evolution for Noncommensurate Fractional-Order Chaotic Systems, Abstract and Applied Analysis(SCI ), Volume 2013 (2013), Article ID 382834, 19 pages, http://www.hindawi.com/journals/aaa/2013/382834/ ,
Fei Gao, Xue-Jing Lee, Heng-qing Tong, Feng-xia Fei, and Hua-ling Zhao,
4 Parameter identification for Van Der Pol–Duffing oscillator by a novel artificial bee colony algorithm with differential evolution operators Original Research Article(SCI )
Applied Mathematics and Computation, Volume 222, 1 October 2013, Pages 132-144
Fei Gao, Xue-jing Lee, Feng-xia Fei, Heng-qing Tong, Yi-bo Qi, Yan-fang Deng, Ilangko Balasingham, Hua-ling Zhao
5 A novel non-Lyapunov approach through artificial bee colony algorithm for detecting unstable periodic orbits with high orders Original Research Article (SCI )
Expert Systems with Applications, Volume 39, Issue 16, 15 November 2012, Pages 12389-12397
Fei Gao, Feng-xia Fei, Yan-fang Deng, Yi-bo Qi, Balasingham Ilangko
6 A novel artificial bee colony algorithm with space contraction for unknown parameters identification and time-delays of chaotic systems Original Research Article (SCI )
Applied Mathematics and Computation, Volume 219, Issue 2, 1 October 2012, Pages 552-568
Fei Gao, Feng-xia Fei, Qian Xu, Yan-fang Deng, Yi-bo Qi, Ilangko Balasingham
7 A Novel non–Lyapunov way for detecting uncertain parameters of chaos system with random noises (SCI )Original Research Article
Expert Systems with Applications, Volume 39, Issue 2, 1 February 2012, Pages 1779-1783
Fei Gao, Yibo Qi, Ilangko Balasingham, Qiang Yin, Hongrui Gao
8.Fei Gao, Ju-Jang Lee, Zhuoqiu Li, Hengqing Tong, and Xiaohong L\"{u}.
Parameter estimation for chaotic system with initial random noises by particle swarm optimization. {Chaos, Solitons\& Fractals},{doi:10.1016/j.chaos.2009.03.074} , (ISI Impact Factor: 3.315), Volume 42, Issue 2, 30 October 2009, Pages 1286-1291
9.Fei Gao, Hongrui Gao, Zhuoqiu Li, Hengqing Tong, and Ju-Jang Lee.
Detecting unstable periodic orbits of nonlinear mappings by a novel quantum-behaved particle swarm optimization non-lyapunov way. { Chaos, Solitons & Fractals},{doi:10.1016/j.chaos.2009.03.119}. (ISI Impact Factor: 3.315) , Volume 42, Issue 4, 30 November 2009, Pages 2450-2463
10.Gao F., Li Z. Q., Tong H. Q.
Parameters Estimation On-line for Lorenz System by A Novel Quantum-behaved Particle Swarm Optimization, Chinese Physics (ISI Impact Factor: 2.103 ) ,2008 17(4):1196-1201
11.Gao F., Tong H. Q.
Parameter estimation for chaotic system based on particle swarm optimization, Acta Physica Sinica vol.55, no.2: 577-82 Feb. 2006 (ISI Impact Factor: 1.277, SCI, ISI: 000235423300019$; EI, Accession number: 06109749092)
12.Gao F., Tong H. Q.
UEAS: A Novel United Evolutionary Algorithm Scheme, Lecture Notes in Computer Science (LNCS), vol 4234, pp 772-780, 2006. (SCI, ISI:$000241759000085$; EI, Accession number:$064610230630$)
13.Gao F., Tong H. Q.
Particle swarm optimization: An efficient method for tracing periodic orbits and controlling chaos, Dynamics of Continuous Discrete & Impulsive Systems B-Applications & Algorithms 13: 780-784 Part 2 Suppl. S, DEC 2006. (SCI: $000245061600072$)
14.Gao F., Tong H. Q.
Differential evolution: An efficient method inoptimal PID tuning and on-line tuning, Dynamics of Continuous Discrete & Impulsive Systems B-Applications & Algorithms 13: 785--789 Part 2 Suppl. S, DEC 2006. (SCI: $000245061600072$)
8.Gao F., Tong H. Q.
Computing Two Linchpins of Topological Degree by a Novel Differential Evolution Algorithm, International Journal of Computational Intelligence and Applications, vol.5, No.3: 335-350. 2005($doi:10.1142/S1469026805001647$)
15.Gao F.
Computing unstable Period orbits of discrete chaotic system though differential evolutionary algorithms basing on elite subspace, System Engineering Theory and Practice, v 25, n 4, April, 2005, p 96-102 (EI, Accession number:$05219119288$)
16.Gao F., Tong H. Q.
Nonlinear least squares estimation based on improved particle swarm optimization, Systems Engineering and Electronics vol.28, no.5 : 775-778, May 2006(Inspec,EI, Accession number: 06259949961)
17.Gao F.
Application of Differential Evolution Algorithms in Determining the Charge on an Electron, Computer Engineering and Applications, 2006,13,216-218.
18.Gao F., Tong H. Q.
Improved Particle Swarm Optimization Algorithm for Finding Roots of Equations, Journal of Wuhan University (Natural Science Edition), Vol. 52 No. 3, 296-300.
19.Gao F., Tong H. Q.
A Novel Extended Differential Evolutionary Algorithm and Its Applications, Journal of Wuhan University (Natural Science Edition), Vol. 51 No. 5 ,547-551.
20.Gao F., Zhong S.N., Ji C.M.
Self-Adaptive Hybrid Evolutionary Algorithms, Journal of Wuhan University (Natural Science Edition),2002,48(5): 533-538
21.Gao F., Zhong S.N., Ji C.M.
Research on fast evolutionary algorithm, Control and Decision ,2002,17(4): 480-483.( Inspec, Accession Number: 7417868)
22.Gao F., Zhong S.N., Ji C.M.
Genetic trust region algorithm, Journal of Mathematics, 2001,21(4): 468-472.
23.Gao F.
Simulations of Dynamical Behaviors for a New Discrete Chaotic System by Differential Evolutionary, Complex Systems and Complexity Science, 2004 Vol. 1 No. 4, 79-84
24.Gao F.
Differential Evolution Algorithms with Extinction Based on Space Contraction, Complex Systems and Complexity Science, 2004 Vol.1 No. 2, 87-92
25.Gao F.
A kind of conic model non--monotony trust region method and their convergence, Academic Research and Studies, 2004,4
Conference
1.F Gao, J-J Lee
A New Approach in Discrete Chaos System Control by Differential Evolution Algorithm, The IEEE International Conference on Industrial Informatics (INDIN 2008)DCC, Daejeon, Korea July 13-16, 2008, 1064-1068
2.F Gao, J-J Lee
A New Approach in Synchronization of Uncertain Chaos Systems Through Particle Swarm Optimization, The IEEE International Conference on Industrial Informatics (INDIN 2008)DCC, Daejeon, Korea July 13-16, 2008, 1069-1074
3.Gao F., Tong H. Q.
A Novel Optimal PID Tuning and On-line Tuning Based on Particle Swarm Optimization, Proc. of the Int. conf. on sensing, computing, and automation, Chongqing, China, 2006.5
4.Gao F.
A Novel Evolutionary Algorithm On Number Theoretic Net For Nonlinear Optimization, Proc. of the Int. Conf. on Advanced Design and Manufacture, Harbin, China, 2006.1, 706-710
5.Gao F., Tong H. Q.
Research on investigating the existence of function roots using Differential Evolution Algorithms , Proc. of Int. Conf. on Innovation and Management, Wuhan, China, 2005.10, 1292-1297
6.Gao F., Tong H. Q.
Control a Novel Discrete Chaotic System through Particle Swarm Optimization, Proc. of the 6th World Congress on Intelligent Control and Automation, Dalian, China, 2006.6, 3330-3334(EI, Accession number: $071510541840$)
7. Gao F. et. al, Solving problems in chaos control though an differential evolution algorithm with region zooming, 2011, Applied Mechanics and Materials, (Volumes 110 - 116),5048-5056
8. Gao F. et. al, A Novel Non-Lyapunov Approach in Discrete Chaos System with Rational Fraction Control by Artificial Bee Colony Algorithm(PIC-2010)
9. Gao F. et. al, An Artificial Bee Colony Algorithm for Unknown Parameters and Time-delays Identification of Chaotic Systems (5th ICCIT)
10. Gao F. et. al, Online synchronization of uncertain chaotic systems by artificial bee colony algorithm in a non-Lyapunov way (CiSE2010)
11. Gao F. et. al, An novel optimal PID tuning and on-line tuning based on artificial bee colony algorithm (CiSE2010)
12. Gao F. et. al, Bacterial Foraging Oriented by Differential Evolution Strategy (ICIECS 2010)
13. Gao F. et. al, A novel particle swarm optimization with special boundaries restriction strategy (ICISE2010)
14. Bacterial Foraging Optimization Oriented by Atomized Feature Cloud Model Strategy, The Proceedings of the 32nd Chinese Control Conference, Xi’an, China, July 26-28, 2013, 8032-8036.
Fei GAO, Feng-Xia FEI, Heng-qing TONG, Xue-jing LI
15. An Ant Colony Biological Inspired Way For Statistical Shortest Paths In Complex Brain Networks. In the Proc. of 7th IEEE/ACM Body Area Networks Conference (Bodynets), Oslo, Norway, Sept. 2012
Fei Gao, Feng-Xia Fei, and Ilangko Balasingham.