杨圣祥导师主页

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基本信息

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姓名: 杨圣祥
职称:
单位电话: +44 116 207 880
电子信箱: syang@dmu.ac.uk
办公室: GH4.58d, Gateway House
个人主页: http://www.tech.dmu.ac.uk/~syang/research.html

个人简介

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个人简介

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杨圣祥，男，博士，教授，博士生导师。湖南省“芙蓉****”讲座教授，英国德蒙特福特大学教授，英国工程与物理科学研究委员会(EPSRC)同行评审学院的成员，电气与电子工程师协会（IEEE）的高级会员，IEEE计算智能协会（IEEE CIS）的会员），IEEE CIS智能系统应用技术委员会（ISATC）的成员以及IEEE CIS进化计算技术委员会（ECTC）的成员，IEEE CIS ISATC智能网络系统任务组（TF-INS，2012-2017）的创始主席和IEEE CIS ECTC动态和不确定环境中的进化计算任务组（ECiDUE，2011-2017)。1993年、1996年和1999年分别在东北大学获得学士学位、硕士学位和博士学位。现在是德蒙福特大学，计算机科学与信息学院，计算智能中心的教授。
主要研究兴趣包括以下方面:智能算法，分布算法估计，元启发式和超启发式，人工神经网络，组合，多目标和动态优化问题，智能系统，生物信息学，数据挖掘和智能数据分析，网络流量问题和算法以及相关的实际应用。
其中项目主要有：“Optimized Point Cloud Compression (OPT-PCC)”、“Evolutionary Computation for Dynamic Constrained Optimization Problems (ECDCOP)”、“Evolutionary Computation for Dynamic Optimisation in Network Environments”、“Evolutionary Computation for Dynamic Scheduling Problems in Process Industries”，等等。
每年受邀到世界各地主题演讲和专题讨论，例如2020年10月22-23在沈阳举行的第二届自动化与人工智能前沿国际论坛上的杰出演讲、2020年拉丁美洲高性能计算会议上的主题演讲“Swarm Intelligence for Dynamic Optimization Problems”，等等。
IEEE Transactions on Evolutionary Computation(SCI期刊 2016 IF: 10.629) Associate Editor;IEEE Transactions on Cybernetics(SCI期刊 2016 IF: 7.384) Associate Editor; Information Sciences(SCI期刊 2016 IF: 4.832)，Associate Editor; Soft Computing(SCI期刊 2016 IF: 2.472) Associate Editor; Enterprise Information Systems(SCI期刊 2016 IF: 1.908) Associate Editor;等20多个国内外期刊或会议的副编辑
著有多部专著，发表SCI论文300余篇，被引11268余次，单篇最高引用479余次。



学习工作经历

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学习经历：
1993年，本科，东北大学
1996年，硕士研究生，东北大学
1999年，博士研究生，东北大学
工作经历：
2012年-现在，教授，德蒙特福特大学；
2010年7月-2012年6月，高级讲师，布鲁内尔大学；
2000年11月-2010年6月，讲师，英国莱斯特大学；
1999年10月-2000年10月，博士后研究助理，英国伦敦国王学院。

研究方向

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智能算法、元启发式和超启发式、人工神经网络调度、组合优化，多目标优化和动态优化、智能网络系统、生物信息学，系统与合成生物学、数据挖掘和智能数据分析，网络流量问题和算法。

科研项目

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1. 动态多目标进化算法关键问题研究，国家自然科学基金面上项目，62万元，2017-2020年。
2. Evolutionary Computation for Dynamic Constrained Optimization Problems (ECDCOP)，195455欧元，2016-2018年。
3. Evolutionary Computation for Dynamic Optimisation in Network Environments，957292英镑，2013-2017年。
4. Evolutionary Computation for Optimised Rail Travel (EsCORT)，62134英镑，2013-2015年。
5. Evolutionary Algorithms for Dynamic Optimisation Problems: Design, Analysis and Applications，571238英镑，2008-2011年。
6. Evolutionary Computation for Dynamic Scheduling Problems in Process Industries，30000英镑，2012-2013年。
7. Evolutionary Computation for Dynamic Optimization and Scheduling Problems，15000英镑，2010-2011年。
8. Improved Evolutionary Algorithms with Primal-Dual Population for Dynamic Variation in Production Systems，10000英镑，2009-2010年。



代表性学术成果

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[1] Q Chen, J Ding, S Yang, T Chai. A novel evolutionary algorithm for dynamic constrained multiobjective optimization problems,IEEE Transactions on Evolutionary Computation, 2020.08(JCR:SCI一区, IF 11.169,TOP) (SCI期刊论文)
[2] Q Zhang, S Yang, M Liu, J Liu, L Jiang. A new crossover mechanism for genetic algorithms for Steiner tree optimization,IEEE Transactions on Cybernetics,2020.07 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[3] Q Zhang, S Yang, M Liu, J Liu, L Jiang. A new crossover mechanism for genetic algorithms for tree optimization problems,IEEE Transactions on Cybernetics,2020.06 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[4] S Jiang, M Kaiser, S Yang, S Kollias, N Krasnogor. A scalable test suite for dynamic multiobjective optimization,IEEE Transactions on Cybernetics,2020.06 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[5] Q Zhang, S Yang, S Jiang, R Wang, X Li. Novel prediction strategies for dynamic multi-objective optimization,IEEE Transactionson Evolutionary Computation,2020.04 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[6] Z Liang, T Wu, X Ma, Z Zhu, S Yang.A dynamic multi-objective evolutionary algorithm based on decision variable classification,IEEE Transactions on Cybernetics,2020.03 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[7] D Gong, B Xu, Y Zhang, Y Guo, S Yang.A similarity-based cooperative co-evolutionary algorithm for dynamic interval multi-objective optimization problems,IEEE Transactions on Evolutionary Computation,2020.02 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[8] W Fang, L Zhang, S Yang, J Sun, X Wu.A multi-objective evolutionary algorithm based on coordinate transformation,IEEE Transactions on Cybernetics,2019.07 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[9] C Fahy, S Yang, M Gongora.Ant colony stream clustering: A fast density clustering algorithm for dynamic data streams,IEEE Transactions on Cybernetics,2019.06 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[10] Y Wang, DQ Yin, S Yang, G Sun.Global and local surrogate-assisted differential evolution for expensive constrained optimization problems with inequality constraints,IEEE Transactions on Cybernetics,2019.05 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[11] ZZ Liu, Y Wang, S Yang, K Tang.An adaptive framework to tune the coordinate systems in nature-inspired optimization algorithms,IEEE Transactions on Cybernetics ,2019.04 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[12] Z Wang, J Zhang, S Yang.An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals,Swarm and Evolutionary Computation ,2019.12(JCR:SCI一区,IF 6.921,TOP) (SCI期刊论文)
[13] J Zou, J Zheng, G Ruan, Y Hu, J Zou, M Li, S Yang, X Tan.A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization,Applied Soft Computing ,2019.12(JCR:SCI一区,IF 5.472,TOP) (SCI期刊论文)
[14] J Zou, Q Li, S Yang, J Zheng, Z Peng, T Pei.A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model,Swarm and Evolutionary Computation,2019,02(JCR:SCI一区,IF 6.921,TOP) (SCI期刊论文)
[15] J Qiao, H Zhou, C Yang, S Yang.A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty,Applied Soft Computing,2019.01 (JCR:SCI一区,IF 5.472,TOP) (SCI期刊论文)
[16] S Jiang, S Yang, Y Wang, X Liu.Scalarizing functions in decomposition-based multiobjective evolutionary algorithms,IEEE Transactions on Evolutionary Computation,2018.04 (JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[17] M Li, C Grosan, S Yang, X Liu, X Yao.Multi-line distance minimization: A visualized many-objective test problem suite,IEEE Transactions on Evolutionary Computation ,2018.02(JCR:SCI一区,IF 11.079,TOP) (SCI期刊论文)
[18] MT Younis, S Yang.Hybrid meta-heuristic algorithms for independent job scheduling in grid computing,Applied Soft Computing,2018.11 (JCR:SCI一区,IF 5.472,TOP) (SCI期刊论文)
[19] J Zou, L Fu, S Yang, J Zheng, G Yu, Y Hu.A many-objective evolutionary algorithm based on rotated grid,Applied Soft Computing ,2018.06 (JCR:SCI一区,IF 5.472,TOP) (SCI期刊论文)
[20] J Zou, Y Zhang, S Yang, Y Liu, J Zheng.Adaptive neighborhood selection for many-objective optimization problems,Applied Soft Computing ,2018.03 (JCR:SCI一区,IF 5.472,TOP) (SCI期刊论文)


[21]J.Eaton,S.Yang and M.Gongora. Ant colony optimization for simulated dynamic multi-objective railway junction rescheduling.IEEE Transactions on Intelligent Transportation Systems, published online first: 10 March 2017. IEEE Press (DOI: 10.1109/TITS.2017.**).


[22]S. Jiang andS.Yang. A strength pareto evolutionary algorithm based on reference direction for multi-objective and many-objective optimization.IEEE Transactions on Evolutionary Computation, accepted on 27 June 2016. IEEE Press (DOI:10.1109/TEVC.2016.**andSource Code in C).


[23]S. Yang, S. Jiang and Y. Jiang. Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes. Soft Computing, published online first:18 February 2016. Springer (DOI:10.1007/s00500-016-2076-3).


[24] S. Jiang andS.Yang. A steady-state and generational evolutionary algorithm for dynamic multi-objective optimization.IEEE Transactions on Evolutionary Computation,21(1):65-82,February2017.IEEEPress(DOI:10.1109/TEVC.2016.**and Source Code in C).


[25] S. Jiang andS.Yang. Evolutionary dynamic multi-objective optimization: benchmarks and algorithm comparisons.IEEE Transactions on Cybernetics, 47(1):198-211,January 2017. IEEE Press (DOI:10.1109/TCYB.2015.** and Source Code in C).
[26] M. Li,S. Yang, and X. Liu. Pareto or non-pareto: Bi-criterion evolution in multi-objective optimization.IEEE Transactions on Evolutionary Computation, 20(5):645-665, October 2016.IEEE Press (DOI: 10.1109/TEVC.2015.**).
[27]S Yang, M Li, X Liu, J Zheng,A Grid-Based Evolutionary Algorithm for Many-Objective Optimization—Supplementary Material,IEEE Transactions on Evolutionary Computation,2013.10(JCR:SCI一区,IF 5.908,TOP) (SCI期刊论文)
[28]S Yang, C Li.A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments,IEEE Transactions on Evolutionary Computation,2010.12(JCR:SCI一区,IF 5.908,TOP) (SCI期刊论文)