# Publications

## Monograph

- Ying Tan, Fireworks Algorithm,
, 2015.10. [TOC with samples], [Book at Springer.Com], [SpringerLink-Home], ISBN: 978-3-662-46352-9.**Springer** - Ying Tan, Anti-Spam Techniques Based on Artificial Immune System,
, 2016.01.[TOC with samples], [Book at Amazon.Com], ISBN: 978-1498725187.*CRC Press/Taylor & Francis* - Ying Tan, Artificial Immune System: Applications in Computer Security,
, May 2016.[TOC with samples], [Book at Amazon.Com], ISBN: 978-1119076285.*Wiley & IEEE* - Ying Tan, GPU-based Parallel Implementation of Swarm Intelligence Algorithms,
, 2016.[Online Version] ISBN: 978-0-12-809362-7. 2016 Elsevier Inc. All rights reserved.*Morgan Kaufmann (Elsevier)* - 谭营(著)，《烟花算法引论》,
, 2015.04. [目录与样章] (ISBN：978-7-03-044085-3，303页，TP-6972.01，40万字)**科学出版社**

## Books and Textbooks

- Ying Tan, Handbook of Research on Design, Control, and Modeling of Swarm Robotics,
, 2015.12. [CFC], Hardcover: 854 pages Publisher: IGI Global; 1 edition (December 9, 2015), Language: English, ISBN-10: 1466695722,ISBN-13: 978-1466695726.*IGI Global, USA* - 谭营, (译), A.P. Engelbrecht(著)，《计算智能导论》,
, 2010.06, ISBN:978-7-302-22205-7. [Details]*清华大学出版社* - 谭营, (译), A.P. Engelbrecht(著)，《计算群体智能基础》,
, 2009.10, ISBN:978-7-302-20896-9. [Details]*清华大学出版社*

## Special Issues In International Journals

- Guest Editors: Y. Tan, Y. Shi and X. Yao, Special Issue on "Swarm Intelligence Algorithms and Applications II",
, December 2017, Vol. 16, Issue 4, pp 507-509. Springer. ISSN: 1567-7818(Print) 1572-9796(Online), [Preface] and [html]*Natural Computing* - Guest Editors: Y. Tan and Y. Shi, Special Issue on "Swarm Intelligence for Computational Biology and Bioinformatics,"
, Jan/Feb. 2017, vol. 14, No. 1, pp. 1-120. [Preface] and [Contents]*IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)* - Guest Editors: Y. Tan, Y. Shi and X. Yao, Special Issue on "Swarm Intelligence Algorithms and Applications I",
, Jan. 2017, vol. 16, No. 1, pp. 1-185. Springer. ISSN: 1567-7818 (Print) 1572-9796 (Online), [Preface] and [Contents]*Natural Computing* - Guest Editors: Y. Tan, Andreas Janecek and Jianhua Liu, Special Issue on "Developments and Applications of Fireworks Algorithm",
, April-June 2015, vol. 6, No. 2, pp. i, 1-132. IGI Global. [html]*International Journal of Swarm Intelligence Research (IJSIR)* - Guest Editors: Y. Tan, Andreas Janecek and Jianhua Liu, Special Issue on "Developments and Applications of Fireworks Algorithm (Cont'd)",
, Seven-September 2015, vol. 6, No. 3, pp. i, 1-83. IGI Global. [html]*International Journal of Swarm Intelligence Research (IJSIR)* - Guest Editor: Ying Tan, Special Issue on "Advances in Swarm Intelligence for Neural Networks",
, Vol. 148, 19 January 2015, Elsevier, ISBN:0925-2312(20150119)148:C; 1-S, pp. 1-197. [Details]*Neurocomputing* - Guest Editors: Y. Tan and Yuhui Shi, Special Issue on "Advances in Swarm Intelligence: Theories, Algorithms and Applications",
, January-March 2013, vol. 4, No. 1, pp. i, 1-132. IGI Global. [pdf]*International Journal of Swarm Intelligence Research (IJSIR)* - Guest Editors: F.C. Sun, Y. Tan and H.P. Liu, Special Issue: "Prediction, Control and Diagnosis using Advanced Neural Computations",
, Vol. 237, 10 July 2013, pp. 1-160, Elseiver. [pdf]*Information Sciences* - Guest Editors: Y. Tan, Nik Kasabov, Special Issue on "Swarm Intelligence Algorithms and Applications",
, Vol. 6, no. 4, Autumn, 2011 pp.110-291. [pdf]**International Journal of Artificial Intelligence**

## 2017

### Journal Papers

- Junzhi Li, Ying Tan, "Loser-out Tournament Based Fireworks Algorithm for Multi-modal Function Optimization";
, 2017. （SCI, EI检索）(学院A类期刊论文), (IF=10.629)[pdf].*IEEE Transactions on Evolutionary Computation(TEC)* - Gai-Ge Wang, Ying Tan, "Improving Metaheuristic Algorithms with Information Feedback Models";
, 2017. （SCI, EI检索）, (IF=7.384)[pdf].*IEEE Transactions on Cybernetics* - Junzhi Li, Ying Tan, "The Bare Bones Fireworks Algorithm: A Minimalist Global Optimizer";
>, 62(2018): 454-462. （SCI, EI检索）(学院A类期刊论文)(IF=3.541)[pdf]*Applied Soft Computing* - Junzhi Li, Shaoqiu Zheng, and Ying Tan, "The Effect of Information Utilization: Introducing a Novel Guiding Spark in the Fireworks Algorithm";
, Vol. 21, No. 1, Jan. 2017, pp. 153-166. （SCI, EI检索）(学院A类期刊论文), (IF=10.629)[pdf].*IEEE Transactions on Evolutionary Computation(TEC)* - Ying Tan and Yuhui Shi, "Editorial: Special Section on Bio-Inspired Swarm Computing and Engineering";
, vol. 14, no. 1, Jan/Feb 2017, pp. 1-3. [pdf].*IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)* - Ying Tan, Yuhui Shi and Xin Yao, "Preface: Swarm Intelligence Algorithms and Applications I";
, vol. 16, no. 1, pp. 1-4, Jan. 2017. (DOI:10.1007/s11047-016-9594-x) [pdf].*Natural Computing,* - Shaoqiu Zheng, Junzhi Li, Andreas Janecek and Ying Tan, "A Cooperative Framework for Fireworks Algorithm"
, vol. 14, no. 1, Jan/Feb 2017, pp. 27-41. [pdf].*IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)*

### Conference Papers

- Xu Weidi, Sun Haozhe, C. Deng and Ying Tan, "Variational Autoencoder for Semi-supervised Text Classification"
, Feb 25-30, 2017, San Francisco, USA. pp.1-7.[pdf]**the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)** - Weiwei Hu and Ying Tan, "On the Robustness of Machine Learning Based Malware Detection"
, May 25-30, 2017, Anchorage, Alaska, USA. pp.1-7.[pdf]**International Joint Conference on Neural Networks (IJCNN 2017)** - X.C. Zhao, R. Li, XQ Zuo, and Y. Tan, "Elite-Leading Fireworks Algorithm"
, pp. 493-500. Y. Tan et al. (Eds.): ICSI 2017, Part I, LNCS 10385, pp. 493–500, 2017. DOI: 10.1007/978-3-319-61824-1_54. （EI检索）[pdf]**Springer-LNCS10385** - Yuchen Zhang, Xiujuan Lei, and Ying Tan, “Firefly Clustering Method for Mining Protein Complexes”, Y. Tan et al. (Eds.):
, pp. 601–610, 2017. DOI: 10.1007/978-3-319-61824-1_65. （EI检索）[pdf]**ICSI 2017, Part I, LNCS 10385** - Xiangyu Liu and Ying Tan, “Adaptive Potential Fields Model for Solving Distributed Area Coverage Problem in Swarm Robotics,” Y. Tan et al. (Eds.):
, 2017. DOI: 10.1007/978-3-319-61833-3 16. （EI检索）[pdf]**ICSI 2017, Part II, LNCS 10386**

## 2016

### Journal Papers

- Ying Tan and Ke Ding, "A Survey on GPU-based Implementation of Swarm Intelligence Algorithms,"
September 2016, Vol. 46, No.9, pp. 2028-2041 [pdf].*IEEE Transactions on Cybernetics,* - Weiwei Hu and Ying Tan, "Prototype Generation Using Multi-Objective Particle Swarm Optimization for Nearest Neighbor Classification,"
2016, Vol. 46, No.12, pp. 2719-2731. [pdf].*IEEE Transactions on Cybernetics,* - Junzhi Li, Shaoqiu Zheng, and Ying Tan, " The Effect of Information Utilization: Introducing a Novel Guiding Spark in the Fireworks Algorithm,"
July 2016, Vol. pp,(Online Publication) [pdf].*IEEE Transactions on Evolutionary Computation,* - Gai-ge Wang and Ying Tan, "Improving Metaheuristic Algorithms with Information Feedback Models,"
2016 (conditionally accepted) [pdf].*IEEE Transactions on Cybernetics,*

### Conference Papers

- Junzhi Li and Ying Tan, "Enhancing Interaction in the Fireworks Algorithm by Dynamic Resource Allocation and Fitness-Based Crowdedness-Avoiding Strategy, "
, July 25-30, 2016, Vancouver, Canada, pp.1-7.[pdf]**2016 IEEE World Congress on Computational Intelligence (WCCI'2016), The IEEE Congress on Evolutionary Computation (CEC'2016)** - Chao Yu, Ling Chen Kelley,and Ying Tan, "Cooperative Framework Fireworks Algorithm with Covariance Mutation, "
, July 25-30, 2016, Vancouver, Canada, pp.1-8.[pdf] - Haoze Sun, Weidi Xu, Chao Deng,and Ying Tan, "Multi-digit Image Synthesis Using Recurrent Conditional Variational Autoencoder, "
, July 25-30, 2016, Vancouver, Canada, pp.1-6.[pdf]**2016 IEEE World Congress on Computational Intelligence (WCCI'2016), International Joint Conference on Neural Networks (IJCNN'2016)** - Yuchen Zhang, Xiujuan Lei,and Ying Tan, "Detecting Firefly Algorithm for Numerical Optimization, "
, June 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9712, pp.200-210.[pdf]**The Seventh International Conference on Swarm Intelligence (ICSI'2016)** - Weiwei Hu and Ying Tan, "Partitioning Based N-Gram Feature Selection for Malware Classification, "
, June 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9714, pp.187-195.[pdf]**The International Conference on Data Mining and Big Data (DMBD'2016)** - Jie Li and Ying Tan, "Triangle Formation Based Multiple Targets Search Using a Swarm of Robots, "
, June 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9713, pp.544-552.[pdf]**The Seventh International Conference on Swarm Intelligence (ICSI'2016)** - Guyue Mi, Yang Gao, and Ying Tan, "Term Space Partition Based Ensemble Feature Construction for Spam Detection, "
, June 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9714, pp.205-218.[pdf]**The International Conference on Data Mining and Big Data (DMBD'2016)**

## 2015

### Journal Papers

- Ying Tan and Ke Ding, "A Survey on GPU-based Implementation of Swarm Intelligence Algorithms,"
October 2015, Vol. 45, [pdf].*IEEE Transactions on Cybernetics,* - Weiwei Hu and Ying Tan, "Prototype Generation Using Multi-Objective Particle Swarm Optimization for Nearest Neighbor Classification,"
2015. [pdf].*IEEE Transactions on Cybernetics,* - Shaoqiu Zheng, Junzhi Li,Andreas Janecek, and Ying Tan, "A Cooperative Framework for Fireworks Algorithm,"
. [pdf].*IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)* - Ying Tan, Andreas Janecek and Jianhua Liu, "Editorial: Special Issue on Developments and Applications of Fireworks Algorithm, "
, April-June 2015, vol. 6, No. 2, pp.iv-vii. IGI Global. [pdf]*International Journal of Swarm Intelligence Research (IJSIR)* - Yan Pei, Shaoqiu Zheng, Ying Tan, and Hideyuki Takagi, "Effectiveness of Approximation Strategy in Surrogate-assisted Fireworks Algorithm,"
, October 2015, Vol. x, No. x, pp. 1-14. [pdf]*International Journal of Machine Learning and Cybernetics* - K. Ding, Y. Tan, "Attract-Repulse Fireworks Algorithm and its CUDA Implementation Using Dynamic Parallelism, "
, April-June 2015, vol. 6, No. 2, pp.1-31. IGI Global. [pdf], [sample-pdf]*International Journal of Swarm Intelligence Research (IJSIR)* - 丁科, 谭营 "GPU通用计算及其在计算智能领域的应用,"
, October 2014, Vol. 10, No. 1, pp. 1-11. [pdf]*《智能系统学报》* - Y. Tan, “A Survey on Swarm Robotics”,
Ed. Ying Tan, IGI Global, 2015, pp.1-42.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook).[pdf]**Handbook of Research on Design, Control,and Modeling of Swarm Robotics,** - Z.Y. Zheng and Y. Tan, “Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment”,
Ed. Ying Tan, IGI Global, 2015, pp.412-435.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook).[pdf]**Handbook of Research on Design, Control,and Modeling of Swarm Robotics,** - X.J. Lei, F. Wang, and Y. Tan, “Swarm Intelligent Optimization Algorithms and Its Application in Mobile Robot Path Planning”,
Ed. Ying Tan, IGI Global, 2015, pp.298-332.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook).[pdf]**Handbook of Research on Design, Control,and Modeling of Swarm Robotics,**

### Conference Papers

- Yang Gao, Guyue Mi and Ying Tan, "Variable Length Concentration based Feature Construction Method for Spam Detection, "
, August 25-28, 2015, Killarney, Ireland, pp.1-8.[pdf]**2015 International Joint Conference on Neural Networks (IJCNN'2015)** - Junzhi Li and Y. Tan, "Orienting Mutation Based Fireworks Algorithm, "
, May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8.[pdf]**2015 IEEE Congress on Evolutionary Computation (CEC'2015)** - Chao Yu and Y. Tan, "Fireworks Algorithm with Covariance Mutation, "
, May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8.[pdf]**2015 IEEE Congress on Evolutionary Computation (CEC'2015)** - Ke Ding, Yanyang Chen, Yanbin Wang and Y. Tan, "Regional Seismic Waveform Inversion Using Swarm Intelligence Algorithms, "
, May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8.[pdf]**2015 IEEE Congress on Evolutionary Computation (CEC'2015)** - Lang Liu, Shaoqiu Zheng and Y. Tan, "S-metric Based Multi-Objective Fireworks Algorithm, "
, May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8.[pdf]**2015 IEEE Congress on Evolutionary Computation (CEC'2015)** - Shaoqiu Zheng, Chao Yu, Junzhi Li and Y. Tan, "Exponentially Decreased Dimension Number Strategy in Dynamic Search Fireworks Algorithm for CEC2015 Competition Problems, "
, May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8.[pdf]**2015 IEEE Congress on Evolutionary Computation (CEC'2015)** - Chao Yu, Ling Chen Kelley and Y. Tan, "Dynamic Search Fireworks Algorithm with Covariance Mutation for Solving the CEC 2015 Learning Based
Competition Problems, "
, May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8.[pdf]**2015 IEEE Congress on Evolutionary Computation (CEC'2015)** - Pengtao Zhang and Y. Tan, "Hybrid Concentration Based Feature Extraction Approach for Malware Detection, "
, May 3-5, 2015, Halifax, Nova Scotia, Canada, pp.1-8.[pdf]**2015 IEEE 28th Canadian Congress on Electrical and Computer Engineering (CCECE'2015)** - Guyue Mi, Yang Gao, and Y. Tan, "Apply Stacked Auto-Encoder to Spam Detection, "
, BICC, Beijing, China, June 25-29, 2015. Springer, LNCS 9141, pp. 3-15.[pdf]**The Sixth International Conference on Swarm Intelligence held in conjunction with the Second BRICS Congress on Computational Intelligence (ICSI-CCI 2015)**

## 2014

### Journal Papers

- P.T. Zhang and Y. Tan, "Immune Cooperation Mechanism Based Learning Framework,"
, Jan. 2015, Vol. 148 pp. 158-166. [pdf], [Online Version]*Neurocomputing* - Y. Tan and G.C. Ruan "Uninterrupted Approaches for Spam Detection Based on SVM and AIS ,"
, March 2014, Vol. 1 No. 1 pp. 1-26. [pdf]*International Journal of Computational Intelligence and Pattern Recognition (IJCIPR)* - Y. Tan, "Editorial: Special Issue on Advances in Swarm Intelligence for Neural Networks,"
, Jan. 2015, Vol. 148, pp. 1-2. [pdf], [Online Version]*Neurocomputing* - 谭营, 郑少秋, "烟花算法研究进展,"
, October 2014, Vol. 9, No. 5, pp. 515-528. [pdf]*《智能系统学报》* - Andreas Janecek and Ying Tan, “Swarm Intelligence for Dimensionality Reduction: How to Improve the Nonnegative Matrix Factorization with Nature-inspired Optimization Methods”,
Ed. Yuhui Shi, IGI Global, 2014.[pdf]**Emerging Research on Swarm Intelligence and Algorithm Optimization,**

### Conference Papers

- S.Q. Zheng, Andreas Janecek, J.Z. Li, and Y. Tan, "Dynamic Search in Fireworks Algoritm, "
, July 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 3222-3229.[pdf]**2014 IEEE World Conference on Computational Intelligence (IEEE WCCI'2014) - IEEE Congress on Evolutionary Computation (CEC'2014)** - J.Z. Li, S.Q. Zheng, and Y. Tan, "Adaptive Fireworks Algorithm, "
, July 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 3214-3221.[pdf] - J.H. Liu, S.Q. Zheng, and Y. Tan, "Analysis on Global Convergence and Time Complexity of Fireworks Algorithm, "
- K. Ding and Y. Tan, "Comparison of Random Number Generators in Particle Swarm Optimization Algorithm, "
- C. Yu, L.C. Kelley, S.Q. Zheng, and Y. Tan, "Fireworks Algorithm with Differential Mutation for Solving the
CEC 2014 Competition Problems, "
- Z.Y. Zheng, J.Z. Li, J. Li, and Y. Tan, "Avoiding Decoys in Multiple Targets Searching Problems using Swarm Robotics,
"
- Z.Y. Zheng, J.Z. Li, J. Li, and Y. Tan, "Improved Group Explosion Strategy for Searching Multiple Targets using Swarm Robotics,
"
, October 5-8, 2014,Paradise Point Resort and Spa, San Diego, California, USA. pp. 252-257.[pdf]**The 2014 IEEE International Conference on Systems, Man, and Cybernetics** - C. Yu, and Y. Tan, "Improving Enhanced Fireworks Algorithm with Differential Mutation,
"
, October 5-8, 2014,Paradise Point Resort and Spa, San Diego, California, USA. pp. 270-275.[pdf]**The 2014 IEEE International Conference on Systems, Man, and Cybernetics** - X.J. Lei, M.Y. Du, J. Xu and Y. Tan, "Chaotic Fruit Fly Optimization Algorithm "
, Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 64-73.[pdf]**The Fifth International Conference on Swarm Intelligence (ICSI 2014)** - X.J. Lei, M.Y. Du, J. Xu, and Y. Tan, "Chaotic Fruit Fly Optimization Algorithm "
, Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 74-85.[pdf]**The Fifth International Conference on Swarm Intelligence (ICSI 2014)** - Y. Gao, G.Y. Mi, and Y. Tan, "An Adaptive Concentraton Selection Model for Spam Detection "
, Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 223-233.[pdf]**The Fifth International Conference on Swarm Intelligence (ICSI 2014)** - J. Zhao, X.J. Lei, Z.Q. Wu, and Y. Tan, "Clustering Using Improved Cuckoo Search Algorithm "
, Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 479-488.[pdf]**The Fifth International Conference on Swarm Intelligence (ICSI 2014)** - X. Yang, and Y. Tan, "Sample Index Based Encoding for Clustering Using Evolutionary Computation "
, Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 489-498.[pdf]**The Fifth International Conference on Swarm Intelligence (ICSI 2014)** - K. Ding, and Y. Tan, "cuROB: A GPU-Based Test Suit for Real-Parameter Optimization "
, Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 66-78.[pdf]**The Fifth International Conference on Swarm Intelligence (ICSI 2014)** - S.Q. Zheng, L. Liu, C. Yu, J.Z. Li, and Y. Tan, "Fireworks Algorithm and Its Variants for Solving ICSI 2014 Competition Problems "
, Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 442-451.[pdf]**The Fifth International Conference on Swarm Intelligence (ICSI 2014)** - J. Li and Y. Tan, "The Multi-target Search Problem with Environmental Restrictions in Swarm Robotics "
, Bali, Indonesia, December 5-10, 2014. IEEE, pp. 2685-2690.[pdf]**Proceeding of the 2014 IEEE International Conference on Robotics and Biomimetics (Robio 2014)**

## 2013

### Journal Papers

- Y. Tan, C. Yu, S.Q. Zheng and K. Ding "Introduction to Fireworks Algorithms ,"
, October-December 2013, vol. 4, No. 4, pp. 39-71. [pdf]*International Journal of Swarm Intelligence Research (IJSIR)* - Y. Tan, "Swarm Robotics: Collective Behavior Inspired by Nature,"
, 6: e106. doi:10.4172/jcsb.1000e106. [pdf]*Journal of Comput Sci Syst Biol (JCSB)* - S. Gu, Y. Tan and X. He "Recentness biased Learning for Time Series Forecasting,"
, Vol. 237, 10 July 2013, pp. 29-38. [pdf], [On-line Version], [Facebook][Twitter]*Information Sciences* - J.Wang and Y.Tan "Efficient Euclidean Distance Transform Algorithm of Binary Images in Arbitrary Dimensions,"
, Vol.46, no.1, 2013, pp.230-242. [pdf], [On-line Version]*Pattern Recognition* - Y. Tan and Zhongyang Zheng "Research Advance in Swarm Robotics ,"
, March 2013, vol. 9, No. 1, pp. 31-62. or pp.18-39, Elsevier. [pdf]*Defence Technology* - F.C. Sun, Y. Tan and H.P. Liu "Special Issue: Prediction, Control and Diagnosis using Advanced Neural Computations,"
, Vol. 237, 10 July 2013, pp. 1-2. [pdf]*Information Sciences* - Y. Tan and P.T. Zhang "Immune based Computer Virus Detection Approaches ,"
, Vol.8, No. 1, 2013, pp. 80-94. [pdf]*CAAI Transactions on Intelligent Systems* - Y. Tan and Yuhui Shi "Special Issue on Advances in Swarm Intelligence: Theories, Algorithms and Applications: Guest Editoral Preface ,"
, January-March 2013, vol. 4, No. 1, pp. i, 1-132. [pdf]*International Journal of Swarm Intelligence Research (IJSIR)*

### Conference Papers

- Y. Tan, G.Y. Mi, Y.C. Zhu, and C. Deng, "Artificial Immune System Based Methods for Spam Filtering "
, May 19-23, 2013, China National Convention Center (CNCC), Beijing, China, pp. 2484-2488.[pdf]**2013 IEEE International Symposium on Circuits and Systems (IEEE ISCAS 2013)** - K. Ding, S.Q. Zheng and Y. Tan, "A GPU-based Parallel Fireworks Algorithm for Optimization "
, Amsterdam, The Netherlands, July 06-10, 2013. pp. 1-8.[pdf]**ACM Genetic and Evolutionary Computation Conference (GECCO 2013)- a recombiination of 22nd International Conference on Genetic Algorithms (ICGA) and the 18th Annual Genetic Programming Conference (GP)** - G.Y. Mi, P.T. Zhang and Y. Tan, "A Multi-Resolution-Concentration Based Feature Construction Approach for Spam Filtering "
, Fairmont Hotel, Dallas, TX, USA, August 4-9, 2013. pp. 1-8.[pdf]**The International Joint Conference on Neural Networks (IJCNN 2013)** - G.Y. Mi, P.T. Zhang and Y. Tan, "Feature Construction Approach for Email Categorization Based on Term Space Partition "
, Fairmont Hotel, Dallas, TX, USA, August 4-9, 2013. pp. 1-8.[pdf]**The International Joint Conference on Neural Networks (IJCNN 2013)** - Z. Y. Zheng and Y. Tan, "Group Explosion Strategy for Searching Multiple Targets using Swarm Robotic "
, June 20-23, Fiesta Americana Grand Coral Beach Hotel, Cancun, Mexico, pp. 1-8.[pdf]**2013 IEEE Congress on Evolutionary Computation, (IEEE CEC 2013)** - Shaoqiu Zheng, Andreas Janecek and Ying Tan, "Enhanced Fireworks Algorithm "
, June 20-23, Fiesta Americana Grand Coral Beach Hotel, Cancun, Mexico, pp. 10-19.[pdf]**2013 IEEE Congress on Evolutionary Computation, (IEEE CEC 2013)** - S.Q. Zheng and Y. Tan, "A Unified Distance Measure Scheme for Orientation Coding in Identification "
, Yangzhou, Jiangsu, China, March 23-25, 2013. pp. 979-985.[pdf]**Third International Conference on Information Science and Technology (ICIST 2013)** - P.T. Zhang and Y. Tan, "Class-wise Information Gain "
, Yangzhou, Jiangsu, China, March 23-25, 2013. pp. 972-978.[pdf]**Third International Conference on Information Science and Technology (ICIST 2013)** - Z.Y. Zheng and Y. Tan, "An Indexed K-D Tree for Neighborhood Generation in Swarm Robotics Simulation "
, Harbin, China, June 12-15, 2013. Springer, LNCS 7929, pp. 53-62.[pdf]**The Fourth International Conference on Swarm Intelligence (ICSI 2013)** - J.H. Liu, S.Q. Zheng and Y. Tan, "AThe Improvement on Controlling Exploration and Exploitation of Firework Algorithm "
, Harbin, China, June 12-15, 2013. Springer, LNCS 7928, pp. 11-23.[pdf]**The Fourth International Conference on Swarm Intelligence (ICSI 2013)** - W.R. He, G.Y. Mi, and Y. Tan, "Parameter Optimization of Local-Concentration Model for Spam Detection by Using Fireworks Algorithm "
, Harbin, China, June 12-15, 2013. Springer, LNCS 7928, pp. 439-450.[pdf]**The Fourth International Conference on Swarm Intelligence (ICSI 2013)** - Zhichao Zhang, Shaoqiu Zheng, Weiping Liz, Ying Tan, Zhonghai Wu, Wei Tan, "Genetic Algorithm for Context-Aware Service Composition Based on Context Space Model "
, June 27-July 2, 2013, Santa Clara Marriott, CA, USA, pp. 1-2.[pdf]**IEEE 20th International Conference on Web Services (IEEE ICWS 2013)**

## 2012

### Conference Papers

- Y.C.Zhu, G.Y. Mi and Y. Tan, "Query Based Hybrid Learning Models for Adaptively Adjusting Locality "
, Brisbane, Australia. June 10-15, 2012. pp. 429-436.[pdf]**IEEE World Conference on Computational Intelligence (WCCI 2012) - IJCNN** - Y. Pei, S.Q. Zheng, Y. Tan and Hideyuki Takagi, "An Empirical Study on Influence of Approximation Approaches on Enhancing Fireworks Algorithm "
, Seoul, Korea. October 14-17, 2012.[pdf]**IEEE International Conference on System, Man and Cybernetics (SMC 2012)** - P.T. Zhang and Y. Tan, "A Danger Feature Based Negative Selection Algorithm "
, Shenzhen, China, June 17-20, 2012. Springer, LNCS 7331, pp. 291-299.[pdf]**The Third International Conference on Swarm Intelligence (ICSI 2012)** - J. Wang and Y. Tan, "Hausdorff Distance with k-Nearest Neighbors "
, Shenzhen, China, June 17-20, 2012. Springer, LNCS 7332, pp. 272-281.[pdf]**The Third International Conference on Swarm Intelligence (ICSI 2012)** - X. Huang, Y. Tan and X.G. He, "A Classifier Based on Minimum Circum Circle "
, Shenzhen, China, June 17-20, 2012. Springer, LNCS 7332, pp. 74-83.[pdf]**The Third International Conference on Swarm Intelligence (ICSI 2012)**

## 2011

### Journal Papers

- 谭营，王军， "手指静脉身份识别技术最新进展,"
, Vol.第6卷，第6期,页码：471-482, 2011年12月.[pdf]*《智能系统学报》* - Andreas Janecek, Ying Tan, " Swarm Intelligence for Non-negative Matrix Factorization,"
, 2(4), pp. 12-34, October-December 2011.[pdf]**International Journal of Swarm Intelligence Research (IJSIR)** - 张鹏涛, 王维,谭营, "基于带有惩罚因子的阴性选择算法的恶意程序检测模型,"
Vol. 41, no. 7, pp.798-812, 2011.[pdf]*《中国科学:信息科学》,* - Y.C. Zhu, Y. Tan, " A Local Concentration Based Feature Extraction Approach for Spam Filtering,"
, Vol. 6, No. 2, June 2011, pp. 486-497..[pdf]**IEEE Transactions on Information Forensics and Security** - X. Huang, Y. Tan, X.G. He, "An Intelligent Multi-feature Statistical Approach for Discrimination of Driving Conditions of Hybrid Electric Vehicle,"
, Vol. 12, No. 2, June, 2011, pp. 453-465.[pdf]**IEEE Transactions on Intelligent Transportation Systems** - W.Wang, P.T. Zhang, Y. Tan, X.G. He, " A Feature Extraction Method of Computer Viruses Based on Artificial Immune and Code Relevance,
Vol. 34, No.2, Feb. 2011, pp.204-215.(In Chinese)[pdf]**Chinese Journal of Computer,** - 王维,张鹏涛,谭营,何新贵, " 一种基于人工免疫和代码相关性的计算机病毒特征提取方法,
Vol. 34, No.2, 2011, pp.204-215.[pdf]**<计算机学报>,** - K. Liu, and Y. Tan, X.G. He, " Particle Swarm Optimization Based Learning Algorithm for Process Neural Networks,
, Vol. 47, No. 2, March 2011, pp. 238-244.(In Chinese)[pdf]**Acta Scientiarum Naturalium Universitatis Pekinensis** - W.Wang, P.T. Zhang, Y. Tan, and X.G. He," An Immune Local Concentration-Based Virus Detection Approach,
, Vol. 11, No. 3, 2011, pp. 1-13.[pdf]**Journal of Zhejiang University-SCIENCE C (Computers and Electronics)** - 顾岁成,谭营, 何新贵，"Laplace 平滑变换及其在人脸识别中的应用,"
Vol. 41, no. 3, pp.257-268, 2011.[pdf]*《中国科学:信息科学》,* - Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, and Zheng Tang, "AMT-PSO: An Adaptive Magnification Transformation Based Particle Swarm Optimizer,"
, Vol. E94-D, no. 4, pp.768-797, 2011. (IF:1.59)[pdf]*IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences* - Y. Zhou,Y. Tan, " GPU-Based Parallel Multi-objective Particle Swarm Optimization,
, Vol. 6, no. 4, Autumn, 2011 pp.125-141. [pdf]**International Journal of Artificial Intelligence** - Y. Tan, Nik Kasabov, " Editorial: Special Issue on Swarm Intelligence Algorithms and Applications,
, Vol. 6, no. 4, Autumn, 2011 pp.110-111. [pdf]**International Journal of Artificial Intelligence**

### Conference Papers

- J. Wang and Y. Tan, "Efficient Euclidean Distance Transform Using Perpendicular Bisector Segmentation"
, Colorado Springs, U.S.A. 2011. pp. 1625-1632.[pdf]**IEEE Computer Vision and Pattern Recognition (CVPR) 2011** - J. Wang and Y. Tan, "Morphological Image Enhancement Procedure Design By Using Genetic Programming, "
, July 12-16, 2011, Dublin, Ireland, pp. 1-8.(8-pages oral and full paper).[pdf]**ACM Genetic and Evolutionary Computation Conference (GECCO’2011)** - Andreas Janecek and Y. Tan, "Iterative Improvement of the Multiplicative Update NMF Algorithm using Nature-inspired Optimization,"
, 26-28 July 2011, Shanghai, China.[pdf]**The 7th International Conference on Natural Computation (ICNC’11) and the 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’11)** - Andreas Janecek and Y. Tan, "Feeding the Fish - Weight Update Strategies for the Fish
School Search Algorithm,"
, June 12-15, Chongqing, China, 2011. LNCS 6729, Springer-Verlag, 2011, pp.553-562.[pdf]**Proc. of The Second International Conference on Swarm Intelligence (ICSI’2011)** - K. Wang, Y. Tan, "A New Collaborative Filtering Recommendation Approach Based On
Naive Bayesian Method,"
, June 12-15, Chongqing, China, 2011. LNCS 6729, Springer-Verlag, 2011, pp.218-227.[pdf]**Proc. of The Second International Conference on Swarm Intelligence (ICSI’2011)** - J. Wang, Y. Tan, "A Novel Genetic Programming Algorithm For Designing Morphological
Image Analysis Method,"
, June 12-15, Chongqing, China, 2011. ICSI 2011, Part I, LNCS 6728, Springer-Verlag, 2011.pp.549-558.[pdf]**Proc. of The Second International Conference on Swarm Intelligence (ICSI’2011)** - Y.C. Zhu, Y. Tan, "A Danger Theory Inspired Learning Model and Its Application to Spam
Detection,"
, June 12-15, Chongqing, China, 2011. LNCS 6728, Springer-Verlag, 2011, pp.382-389.[pdf]**Proc. of The Second International Conference on Swarm Intelligence (ICSI’2011)** - Andreas Janecek and Y. Tan, "Using Population Based Algorithms for Initializing
Nonnegative Matrix Factorization,"
, June 12-15, Chongqing, China, 2011. Part II, LNCS 6729, Springer-Verlag, 2011, pp.307-316.[pdf]**Proc. of The Second International Conference on Swarm Intelligence (ICSI’2011)**

## 2010

### Journal Papers

- Y. Tan, "Particle Swarm Optimization Algorithms Inspired by Immunity-Clonal Mechanism and Their Applications to Spam Detection,"
, 2010.[pdf]**International Journal of Swarm Intelligence Research** - 谭营，朱元春， "反垃圾电子邮件方法研究,"
, Vol.第 5卷，第3期,页码：189-201, 2010年6月.[pdf]*《智能系统学报》* - S.C. Gu, Y. Tan, X.G. He, "Discriminant Analysis via Support Vectors,"
, Vol.73, No.10-12, pp.1669-1675, 2010, (doi:10.1016/ j.neucom.2009.09.021), Elsevier. (IF:1.44)[pdf]*Neurocomputing* - P.T. Zhang, W.Wang, Y. Tan, "A Malware Detection Model based on a Negative Selection Algorithm with Penalty Factor,"
, Vol. 53, no. 12, pp. 2461-2471, December, 2010.(IF:0.79)[pdf]*Science in China Series F - Information Science* - Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, and Zheng Tang, "Hybrid Uniform Distribution of Particle Swarm Optimizer,"
, Vol. E93-A, no. 10, pp.1782-1791, October, 2010. (IF:1.59)[pdf]*IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences* - S.C. Gu, Y. Tan, X.G. He, "Recent-Biased Learning for Time Series Forecast,"
, 180(2010)321-331, Elsevier, (doi:10.1016/ j.ins.2010.09.004) (IF:3.291)[pdf]*Information Science* - S.C. Gu, Y. Tan, X.G. He, "Laplacian Smoothing Transform for Face Recognition,"
, Vol. 53, no. 12, pp. 2415-2428, December, 2010, (doi: 10.1007/s11432-009-0008-x). (IF:0.79)[pdf]*Science in China Series F - Information Science* - G.C. Ruan, Y. Tan, "A Three-layer Back-propagation Neural Network for Spam Detection Using Artificial Immune Concentration,"
, Vol.14, pp.139-150, 2010.[pdf]**Softcomputing** - Y. Tan and Y. Zhou, “Parallel Particle Swarm Optimization based on Graphics Processing Unit”,
Series on Adaptation, Learning, and Optimization, Eds. Bijaya Ketan Panigrahi, Yuhui Shi and Meng-hiot Lim, Springer, 2010. (Book chapter)[pdf]**Handbook of Swarm Intelligence – Concepts, Principles and Applications,**

### Conference Papers

- J. Wang and Y. Tan. A novel genetic programming based morphological image analysis algorithm.
, pages 979–980, New York, NY, USA, 2010. ACM.**In GECCO ’10: Proceedings of the 12th annual conference on Genetic and evolutionary computation** - Y.C. Zhu and Y. Tan, "Extracting discriminative information from E-mail for spam detection inspired by immune system",
, 2010 IEEE World Congress on Computational Intelligence (*The 2010 IEEE Congress on Evolutionary Computation (IEEE CEC'2010)***WCCI'2010**), July 18-23, 2010, Barcelona, Spain.[pdf] - Y. Zhou and Y. Tan, "Particle Swarm Optimization with Triggered Mutation and Its Implementation based on GPU",
, July 7-11, 2010, Portland, Oregon, U.S.A. 8pages.[pdf]*ACM Genetic and Evolutionary Computation Conference (GECCO'2010)* - K. Liu, Y. Tan and X.G. He, "Particle Swarm Optimization Based Learning Method for Process Neural Networks",
, June 6-9, 2010, Shanghai, China[pdf]*Seventh International Symposium on Neural Networks (ISNN'2010)* - Xi Huang, Ying Tan, Xingui He, "A Torque Control Strategy with Charge Buffer for Parallel Hybrid Electric Vehicle,"
6-9 September 2010, Ottawa, Canada[pdf]*IEEE 72nd Vehicular Technology Conference: VTC2010-Fall* - Ying Tan, Yuanchun Zhu, "Fireworks Algorithms for Optimization,"
, June 12-15, Beijing, China, 2010. ICSI 2010, Part II, LNCS 6145, pp.355-364, 2010. Springer-Verlag，2010[pdf]*Proc. of International Conference on Swarm Intelligence (ICSI’2010)* - Kun Liu, Ying Tan, and Xingui He, "An Adaptive Staged PSO Based on Particles’ Search Capabilities,"
, June 12-15, Beijing, China, 2010. ICSI 2010, Part II, LNCS 6145, pp.52-59, 2010. Springer-Verlag，2010.[pdf]*Proc. of International Conference on Swarm Intelligence (ICSI’2010)* - Wei Wang, Pengtao Zhang, Ying Tan, "An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization,"
, June 12-15, Beijing, China, 2010. ICSI 2010, Part II, LNCS 6145, pp.347-354, 2010. Springer-Verlag，2010.[pdf]*Proc. of International Conference on Swarm Intelligence (ICSI’2010)*

## 2009

### Journal Papers

- Y. Tan and Junqi Zhang, "Magnifier Particle Swarm Optimisation and its Application to Spam Detection", in
, Springer-Verlag. New York, 2009.(Book Chapter) [pdf]*Nature-Inspired Optimisation*

### Conference Papers

- Y. Tan, C. Deng, G.C. Ruan, “Concentration Based Feature Construction Approach for Spam Detection,” Proceedings of International Joint Conference on Neural Networks , Atlanta, Georgia, USA, June 14-19, 2009, pp. 1344-1350.
- Y. Zhou, Y. Tan, ''GPU-based parallel particle swarm optimization'', IEEE Congress on Evolutionary Computation, 2009. CEC '09, 18-21 May 2009 Page(s):1493 - 1500. [pdf]
- X. Huang, Y. Tan, X.G. He, "An Intelligent Multi-feature Statistical Approach for Discrimination of Driving Conditions of Hybrid Electric Vehicle," IEEE International Joint Conference on Neural Networks (IJCNN’2009), June 14-19, Atlanta, Georgia, U.S.A., 2009, June 14-19, 2009, pp. 1286-1293.
- J.Q. Zhang, Y. Tan, X.G. He, "Concentric Spatial Extension Based Particle Swarm Optimization Inspired by Brood Sorting in Ant Colonies," IEEE Symposiums Series on Computational Intelligence (SSCI’2009) - IEEE Swarm Intelligence Symposium (SIS 2009), March 30 - April 2, Nashville, Tennessee, U.S.A., 2009.
- S.C. Gu, Y. Tan, X.G. He, “Orthogonal Quadratic Discriminant Functions for Face Recognition,” Proc. of the Sixth International Symposium on Neural Networks (ISNN’2009), Wuhan, China, May 26-29, 2009, pp. 466-475.
- W. Wang, P.T. Zhang, Y. Tan, X.G. He. ''A Hierarchical Artificial Immune Model for Virus Detection'', 2009 International Conference on Computational Intelligence and Security (CIS'09), IEEE, Beijing, China, 2009. [pdf]
- R. Chao, Y. Tan. ''A Virus Detection System Based on Artificial Immune System'', 2009 International Conference on Computational Intelligence and Security (CIS'09), IEEE, Beijing, China, 2009. [pdf]

## 2008

### Conference Papers

- J. Yang, X. Huang, Y. Tan, X.G. He, ''Forecast of Driving Load of Hybrid Electric Vehicles by using Discrete Cosine Transform and Support Vector Machine,'' IEEE World Congress on Computational Intelligence (WCCI'2008)--IJCNN'2008, June 1-6, Hong Kong, 2008. pp. 2228-2235.
- J.Q. Zhang, Z.M. Xiao, Ying Tan, Xingui He, ''Hybrid Particle Swarm Optimizer with Advance and Retreat Strategy and Clonal mechanism for Global Numerical Optimization,'' IEEE World Congress on Computational Intelligence (WCCI'2008)---IEEE CEC'2008, June 1-6, Hong Kong, 2008.
- S.C. Gu, Y. Tan, X.G. He, “Frequency Cosine Transform: A Bridge Between Gradient based Frequency Transform and Discrete Cosine Transform, ” Proc. the IEEE International Conference on Neural Networks for Signal Processing (ICNNSP’2008), Zhenjing, June 8-11, 2008. pp.612-617.
- J.Q. Zhang, K. Liu, Y. Tan, X.G. He, “Random Black Hole Particle Swarm Optimization and Its Application,” Proc. the IEEE International Conference on Neural Networks for Signal Processing (ICNNSP’2008), Zhenjing, June 7-11, 2008. pp.359-365.
- J.Q. Zhang, K. Liu, Y. Tan, X.G. He, ''Allocation of Local and Global Search Capabilities of Particle in Canonical PSO,'' ACM Genetic and Evolutionary Computation Conference (GECCO'2008), July 12-16, 2008, Atlanta, Georgia, U.S.A.
- J.Q. Zhang, K. Liu, Y. Tan, X.G. He, ''Magnifier Particle Swarm Optimization For Numerical Optimization,'' ACM Genetic and Evolutionary Computation Conference (GECCO'2008), July 12-16, 2008, Atlanta, Georgia, U.S.A.

## 2007

### Journal Papers

- Zhengping Hu, Ying Tan. "Interactive region growing for image segmentation based on SVDD", Chinese Journal of Scientific Instrument, No. z3, 2007. (In Chinese). [pdf]
- Zhengping Hu, Ye Zhang, Ying Tan. "Adaptive and high accurate region growing image segmentation method based on region evolution", Journal of System Engineering and Electronics, Vol. No. 06, pp.854-857, 2007. (In Chinese). [pdf]

### Conference Papers

- Y. Tan and Z. M. Xiao. "Clonal Particle Swarm Optimization and Its Applications", IEEE Congress on Evolutionary Computation (IEEE CEC'2007), Singapore, 2007. [pdf]
- Guangchen Ruan and Ying Tan. "Intelligent Detection Approaches for Spam", Third International Conference on Natural Computation(ICNC'07), Haikou, China. August 24-27, 2007. (regular paper). [pdf]
- Ying Tan. "Neural-Based Separating Method for Nonlinear Mixtures", The Fourth International Symposium on Neural Networks, (ISNN'2007), Nanjing, China , Lecture Notes on Computer Science 4492, Springer (3) 2007: 705-714. [pdf]
- Ying Tan and Guangchen Ruan. "Recognition of Electronic Junk Mails based on Artificial Immune System", The Third Joint Workshop on Machine Perception and Robotics (MPR2007), Ritsumeikan University, Japan, November 25-27, 2007.

## Books - 书籍

- 谭营, (著)，《烟花算法引论》,
, 2015.04. [目录与样章]*科学出版社* - Ying Tan, Fireworks Algorithm: A Swarm Intelligence Optimization Method,
, 2015.05. [TOC with samples], [Book at Springer.Com], ISBN: 978-3-662-46352-9.**Springer** - Ying Tan, Anti-Spam Techniques Based on Artificial Immune System,
, 2015.12.*CRC Press/Taylor & Francis* - Ying Tan, Artificial Immune System: Applications in Computer Security,
, May 2016.*Wiley & IEEE* - Ying Tan, GPU-based Parallel Implementation of Swarm Intelligence Algorithms,
, 2016.*Elsevier-Morgan Kaufmann* - Ying Tan, Handbook of Research on Design, Control, and Modeling of Swarm Robotics,
, 2015.12.*IGI Global* - 谭营, (译), A.P. Engelbrecht(著)，《计算智能导论》,
, 2010.06, ISBN:978-7-302-22205-7. [Details]*清华大学出版社* - 谭营, (译), A.P. Engelbrecht(著)，《计算群体智能基础》,
, 2009.10, ISBN:978-7-302-20896-9. [Details]*清华大学出版社*

## Edited Books or Procceedings

- Ying Tan, Yuhui Shi, Ben Niu, (Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in Computer Science, LNCS 9712,
, 657 pages, 2016.06.*Springer* - Ying Tan, Yuhui Shi, Li Li, (Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in Computer Science, LNCS 9713,
, 615 pages, 2016.06.*Springer* - Ying Tan, Yuhui Shi, (Eds), Advances in Data Mining and Big Data, Springer Lecture Notes in Computer Science, LNCS 9714,
, 569 pages, 2016.06.*Springer* - Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht (Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in Computer Science, LNCS 9140,
, 600 pages, 2015.07.*Springer* - Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht (Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in Computer Science, LNCS 9141,
, 498 pages, 2015.07.*Springer* - Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht (Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in Computer Science, LNCS 9142,
, 496 pages, 2015.07.*Springer* - Ying Tan, Yuhui Shi, Carlos A. Coello Coello (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 8794,
, 510 pages, 2014.10.*Springer* - Ying Tan, Yuhui Shi, Carlos A. Coello Coello (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 8795,
, 464pages, 2014.10.*Springer* - Ying Tan, Yuhui Shi, Hongwei Mo (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 7928,
, 480pages, 2013.6.*Springer* - Ying Tan, Yuhui Shi, Hongwei Mo (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 7929,
, 596pages, 2013.6.*Springer* - Ying Tan, Yuhui Shi, Zhen Ji (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 7331,
, 623pages, 2012.6.*Springer* - Ying Tan, Yuhui Shi, Zhen Ji (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 7332,
, 607pages, 2012.6.*Springer* - Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 62,
, 639pages, 2011.6.*Springer* - Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 7332,
, 587pages, 2011.6.*Springer* - Ying Tan, Yuhui Shi, Kay Chen Tan (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 6145,
, 746pages, 2010.6.*Springer* - Ying Tan, Yuhui Shi, Kay Chen Tan (Eds), Advances in Swarm Intelligence, Springer Lecture Notes in Computer Science, LNCS 6146,
, 742pages, 2010.6.*Springer* - Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu (Eds), Advances in Neural Networks - ISNN 2008, Springer Lecture Notes in Computer Science, LNCS 5263,
, , 908pages, 2008.6.*Springer* - Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu (Eds), Advances in Neural Networks - ISNN 2008, Springer Lecture Notes in Computer Science, LNCS 5264,
, , 850pages, 2008.6.*Springer*

## Chapters in Book

- Y. Tan, “A Survey on Swarm Robotics”,
Ed. Ying Tan, IGI Global, 2015, pp.1-42.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook).[pdf]**Handbook of Research on Design, Control,and Modeling of Swarm Robotics,** - Z.Y. Zheng and Y. Tan, “Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment”,
Ed. Ying Tan, IGI Global, 2015, pp.412-435.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook).[pdf]**Handbook of Research on Design, Control,and Modeling of Swarm Robotics,** - X.J. Lei, F. Wang, and Y. Tan, “Swarm Intelligent Optimization Algorithms and Its Application in Mobile Robot Path Planning”,
Ed. Ying Tan, IGI Global, 2015, pp.298-332.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook).[pdf]**Handbook of Research on Design, Control,and Modeling of Swarm Robotics,** - Andreas Janecek and Ying Tan, “Swarm Intelligence for Dimensionality Reduction: How to Improve the Nonnegative Matrix Factorization with Nature-inspired Optimization Methods”,
Ed. Yuhui Shi, IGI Global, 2014.[pdf]**Emerging Research on Swarm Intelligence and Algorithm Optimization,** - Y. Tan and Y. Zhou, “Parallel Particle Swarm Optimization based on Graphics Processing Unit”,
Series on Adaptation, Learning, and Optimization, Eds. Bijaya Ketan Panigrahi, Yuhui Shi and Meng-hiot Lim, Springer, 2010.[pdf]**Handbook of Swarm Intelligence – Concepts, Principles and Applications,** - Y. Tan and Junqi Zhang, "Magnifier Particle Swarm Optimisation and its Application to Spam Detection", in
, Springer-Verlag. New York, 2009. [pdf]*Nature-Inspired Optimisation*