List of published BSO papers

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List of Papers on Brain Storm Optimization Algorithms

2011

1. Shi Y. Brain storm optimization algorithm[M]//Advances in Swarm Intelligence. Springer Berlin Heidelberg, 2011: 303-309.

2. Shi Y. An optimization algorithm based on brainstorming process[J]. International Journal of Swarm Intelligence Research (IJSIR), 2011, 2(4): 35-62.


2012

3. Krishnanand K R, Syed Muhammad Farzan Hasani, Panigrahi B K, and, Sanjib Kumar Panda, Brain Storming Incorporated Teaching–Learning–Based Algorithm with Application to Electric Power Dispatch[M]//Swarm, Evolutionary, and Memetic Computing. Springer Berlin Heidelberg, 2012: 476-483.

4. H. T. Jadhav, Utkarsh Sharma, Jay Patel, and Ranjit Roy, Brain storm optimization algorithm based economic dispatch considering wind power economic dispatch considering wind power, PECon2012

5. Xue J, Wu Y, Shi Y, et al. Brain storm optimization algorithm for multi-objective optimization problems[M]//Advances in Swarm Intelligence. Springer Berlin Heidelberg, 2012: 513-519.

6. Zhan Z, Zhang J, Shi Y, et al. A modified brain storm optimization[C]//Evolutionary Computation (CEC), 2012 IEEE Congress on. IEEE, 2012: 1-8.

7. Zhou D, Shi Y, Cheng S. Brain storm optimization algorithm with modified step-size and individual generation[M]//Advances in Swarm Intelligence. Springer Berlin Heidelberg, 2012: 243-252.


2013

8. Cheng S, Shi Y, Qin Q, et al. Solution clustering analysis in brain storm optimization algorithm[C]//Swarm Intelligence (SIS), 2013 IEEE Symposium on. IEEE, 2013: 111-118.

9. Duan H, Li S, Shi Y. Predator–Prey Brain Storm Optimization for DC Brushless Motor[J]. Magnetics, IEEE Transactions on, 2013, 49(10): 5336-5340.

10. Krishnanand K R, Hasani S M F, Panigrahi B K, et al. Optimal Power Flow Solution Using Self–Evolving Brain–Storming Inclusive Teaching–Learning–Based Algorithm[M]//Advances in Swarm Intelligence. Springer Berlin Heidelberg, 2013: 338-345.

11. Shi Y, Xue J, Wu Y. Multi-Objective Optimization Based on Brain Storm Optimization Algorithm[J]. International Journal of Swarm Intelligence Research (IJSIR), 2013, 4(3): 1-21.

12. Sun C, Duan H, Shi Y. Optimal satellite formation reconfiguration based on closed-loop brain storm optimization[J]. Computational Intelligence Magazine, IEEE, 2013, 8(4): 39-51.

13. Yang Y, Shi Y, Xia S. Discussion mechanism based brain storm optimization algorithm[J]. 基于讨论机制的头脑风暴优化算法, 浙江大学学报工学版 vol.47 No.10, pp. 1705-1711, 2013

14. Zhan Z, Chen W, Lin Y, et al. Parameter investigation in brain storm optimization[C]//Swarm Intelligence (SIS), 2013 IEEE Symposium on. IEEE, 2013: 103-110.


2014

15. Arsuaga-Rios M, Vega-Rodriguez M A. Cost optimization based on brain storming for grid scheduling[C]//Innovative Computing Technology (INTECH), 2014 Fourth International Conference on. IEEE, 2014: 31-36.

16. Cheng S, Shi Y, Qin Q, et al. Maintaining population diversity in brain storm optimization algorithm[C]//Evolutionary Computation (CEC), 2014 IEEE Congress on. IEEE, 2014: 3230-3237.

17. Guo X, Wu Y, Xie L. Modified Brain Storm Optimization Algorithm for Multimodal Optimization[M]//Advances in Swarm Intelligence. Springer International Publishing, 2014: 340-351.



18. Lenin I K, Reddy B R, SuryaKalavathi M, Brain Storm Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem, International Journal of Research in Electronics and Communication Technology, 2014, 1(3).

19. Qiu H, Duan H. Receding horizon control for multiple UAV formation flight based on modified brain storm optimization[J]. Nonlinear Dynamics, 2014, 78(3): 1973-1988.

20. Sun Y. A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting[C]//Abstract and Applied Analysis. Hindawi Publishing Corporation, 2014, 2014.

21. Xie L, Wu Y. A Modified Multi-Objective Optimization Based on Brain Storm Optimization Algorithm[M]//Advances in Swarm Intelligence. Springer International Publishing, 2014: 328-339.

22. Zhang G W, Zhan Z H, Du K J, et al. Normalization group brain storm optimization for power electronic circuit optimization[C]//Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. ACM, 2014: 183-184.

23. Zhou H J, Jiang M Y, Ben X Y. Niche Brain Storm Optimization Algorithm for Multi-Peak Function Optimization[C]//Advanced Materials Research. 2014, 989: 1626-1630.

24. Chen J, Xie Y, Ni J. Brain Storm Optimization Model Based on Uncertainty Information[C]//Computational Intelligence and Security (CIS), 2014 Tenth International Conference on. IEEE, 2014: 99-103.

25. Cheng, S., Shi, Y., Qin, Q., Zhang, Q., Bai, R., Population diversity maintenance in brain storm optimization algorithm. Journal of Artificial Intelligence and Soft Computing Research (JAISCR), Vol. 4, No. 2, pp. 83-97, 2014


2015

26. Duan H, Li C. Quantum-Behaved Brain Storm Optimization Approch to Solving Loney’s Solenoid Problem[J]. Magnetics, IEEE Transactions on, 2015, 51(1).

27. Li J, Duan H. Simplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system[J]. Aerospace Science and Technology, 2015.

28. Jordehi A R. Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems[J]. International Journal of Electrical Power & Energy Systems, 2015, 69: 48-57.

29. Huaxin Qiu, Haibin Duan, Yuhui Shi, A decoupling receding horizon search approach to agent routing and optical sensor tasking based on brain storm optimization, Optik 126 (2015) 690–696

30. Liviu Octavian Mafteiu-Scai, A New Approach for Solving Equations Systems Inspired from Brainstorming, International Journal of New Computer Architectures and their Applications (IJNCAA) 5(1): 10-18, 2015 (ISSN: 2220-9085]

31. Li, Cong, and Haibin Duan. "Information granulation-based fuzzy RBFNN for image fusion based on chaotic brain storm optimization." Optik-International Journal for Light and Electron Optics 126.15 (2015): 1400-1406

32. Zhensu Yang and Yuhui Shi, Brain Storm Optimization with Chaotic Operation, 7th International Conference on Computational Intelligence, Wuyishan, Fujian, China, March 27-29, 2015.

33. Haoyu Zhu and Yuhui Shi, Brain Storm Optimization Algorithms with K-medians Clustering Algorithms, Wuyishan, Fujian, China, March 27-29, 2015.

34. Yuhui Shi, Brain Storm Optimization Algorithm in Objective Space, IEEE Congress on Evolutionary Computation, Sendai, Japan, May 25-28, 2015.

35. Junfeng Chen, Shi Cheng, Yang Chen, Yingjuan Xie, Yuhui Shi, Enhanced Brain Storm Optimization Algorithm for Wireless Sensor Networks Deployment, Proceedings of the International Conference on Swarm Intelligence, Advances in Swarm and Computational Intelligence Lecture Notes in Computer Science, Volume 9140, 2015, pp 373-381.

36. Zijian Cao, Yuhui Shi, Xiaofeng Rong, Baolong Liu, Zhiqiang Du, and Bo Yang, Random Grouping Brain Storm Optimization Algorithm with a New Dynamically Changing Step Size, Proceedings of the International Conference on Swarm Intelligence, Advances in Swarm and Computational Intelligence Lecture Notes in Computer Science, Volume 9140, 2015, pp 357-364.

37. Xiaoping Guo, Yali Wu, Lixia Xie, Shi Cheng, and Jing Xin, An Adaptive Brain Storm Optimization Algorithm for Multiobjective Optimization Problems, Proceedings of the International Conference on Swarm Intelligence, Advances in Swarm and Computational Intelligence Lecture Notes in Computer Science, Volume 9140, 2015, pp 365-372.



38. Zijian Cao, Lei Wang, Xinhong Hei, Yuhui Shi, & Xiaofeng Rong, An Improved Brain Storm Optimization with Differential Evolution Strategy for Applications of ANNs, Mathematical Problems in Engineering

39. Mahdad, Belkacem, and K. Srairi. "Security optimal power flow considering loading margin stability using hybrid FFA–PS assisted with brainstorming rules." Applied Soft Computing 35 (2015): 291-309.

40. Ping Jiang, Shanshan Qin, Jie Wu, and Beibei Sun. Time Series Analysis and Forecasting for Wind Speeds Using Support Vector Regression Coupled with Artificial Intelligent Algorithms[J]. Mathematical Problems in Engineering, 2015].

41. Yang Yuting, Shi Yuhui, Xia Shunren. Advanced discussion mechanism-based brain storm optimization algorithm[J]. Soft Computing, October 2015, Volume 19, Issue 10, pp 2997-3007.

42. Arsuaga-Ríos M, Vega-Rodríguez M A. Multi-objective energy optimization in grid systems from a brain storming strategy[J]. Soft Computing, November 2015, Volume 19, Issue 11, pp 3159-3172

43. Meng Wei, and Yuhui Shi, Brain Storm Optimization Algorithms for Optimal Coverage of Wireless Sensor Networks, Proceeding of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015), Tainan, Taiwan, November 20 – 22, 2015

44. Reetika Roy, and Anuradha J, A Modified Brainstorm Optimization for Clustering Using Hard c-Means, 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks, pp.202-207

45. Huang, Jun S., Qiong Wu, and Qi Chen. "Design Swapping Encryption System for Video Streaming with Brain Storm Optimization." Bio-Inspired Computing--Theories and Applications: 10th International Conference, BIC-TA 2015 Hefei, China, September 25-28, 2015, Proceedings. Springer Berlin Heidelberg, 2015.

46. 杨玉婷, 段丁娜, 张欢, 夏顺仁 , 基于改进头脑风暴优化算法的隐马尔可夫模型运动识别, 《航天医学与医学工程》 201506


2016

47. Yadav, Poonam. "Case Retrieval Algorithm Using Similarity Measure and Adaptive Fractional Brain Storm Optimization for Health Informaticians." Arabian Journal for Science and Engineering (2016) 41: 829-840.

48. Haoyu Zhu and Yuhui Shi, Brain Storm Optimization Algorithm for Full Area Coverage of Wireless Sensor Networks, 8th International Conference on Computational Intelligence, Chiang Mai, Thailand, February 14-16, 2016

49. Pal, P. S., Kar, R., Mandal, D., & Ghoshal, S. P. (2016). Identification of NARMAX Hammerstein models with performance assessment using brain storm optimization algorithm. International Journal of Adaptive Control and Signal Processing, Vol 30, pp 1043-1070.

50. Shi Cheng, Quande Qin, Junfeng Chen, and Yuhui Shi, Brain storm optimization algorithm: a review, Artificial Intelligence Review, First online: 26 February 201]

51. Ping Jiang, and Peizhi Li. "Research and Application of a New Hybrid Wind Speed Forecasting Model on BSO Algorithm." Journal of Energy Engineering (2016): 04016019.

52. Zhengxuan Jia, Haibin Duan, Yuhui Shi, Hybrid Brain Storm Optimization and Simulated Annealing Algorithm for Continuous Optimization Problems, International Journal of Bio-Inspired Computation, Vol.8, No.2, 2016, pp.109-121

53. Junfeng ChenJingyu Wang, Shi Cheng, and Yuhui Shi, Brain Storm Optimization with Agglomerative Hierarchical Clustering Analysis, Proceedings of 2016 International Conference on Swarm Intelligence, Bali, Indonesia, June 26-28, 2016, pp.115-122

54. Li Li, F.F. Zhang, Xianghua Chu, and Ben Niu, Modified Brain Storm Optimization Algorithms Based on Topology Structure, Proceedings of 2016 International Conference on Swarm Intelligence, Bali, Indonesia, June 26-28, 2016, pp.408-415

55. Ben Niu, Jia Liu, Jing Liu, and Chen Yang, Brain Storm Optimization for Portfolio Optimization, Proceedings of 2016 International Conference on Swarm Intelligence, Bali, Indonesia, June 26-28, 2016, pp.416-423



56. Shi Cheng, Quande Qin, Junfeng Chen, Gai-Ge Wang, and Yuhui Shi, Brain Storm Optimization in Objective Space Algorithm for Multimodal Optimization Problems, Proceedings of 2016 International Conference on Swarm Intelligence, Bali, Indonesia, June 26-28, 2016, pp.469-478

57. Yali Wu, Lixia Xie, and Qing Liu, Multi-objective Brain Storm Optimization Based on Estimating in Knee Region and Clustering in Objective-Space, Proceedings of 2016 International Conference on Swarm Intelligence, Bali, Indonesia, June 26-28, 2016, pp.479-490

58. Olukunle Kolawole Soyinka, and Haibin Duan, Optimal Impulsive Thrust Trajectories for Satellite Formation via Improved Brainstorm Optimization, Proceedings of 2016 International Conference on Swarm Intelligence, Bali, Indonesia, June 26-28, 2016, pp.491-499

59. Tiew On Ting, and Yuhui Shi, Parameter Estimation of Vertical Two-Layer Soil Model via Brain Storm Optimization Algorithm, Proceedings of 2016 International Conference on Swarm Intelligence, Bali, Indonesia, June 26-28, 2016, pp.500-511

60. Ziwei Zhou, Haibin Duan and Yuhui Shi, Convergence Analysis of Brain Storm Optimization Algorithm, Proceedings of 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 24-29, 2016

61. Adriana Cervantes-Castillo and Efrén Mezura-Montes, A Study of Constraint-Handling Techniques in Brain Storm Optimization, Proceedings of 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 24-29, 2016

62. Mohammed El-Abd, Brain Storm Optimization Algorithm with Re-initialized Ideas and Adaptive Step Size, Proceedings of 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 24-29, 2016

63. Xueming Yan, Zhifeng Hao, Han Huang and Gang Li, Human-computer Cooperative Brain Storm Optimization Algorithm for the Two-echelon Vehicle Routing Problem, Proceedings of 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 24-29, 2016

64. Jianzhou Wang, Ru Hou, Chen Wang, Lin Shen, Improved ν-Support Vector Regression Model Based on Variable Selection and Brain Storm Optimization for Stock Price Forecasting[J]. Applied Soft Computing, 2016. http://dx.doi.org/10.1016/j.asoc.2016.07.024.

65. J. A. López Gómez, A hybridized brain storm optimization approach to deal with traffic problems, Computational Management Science, Salamanca, Spain, May 31 - June 2, 2016

66. Gupta, Utkarsh, P. Swarnalatha, and Prateek Chharia. "SPEECH GUIDED FEATURE EXTRACTION AND BRAIN STORM OPTIMIZATION TO CLUSTER OBJECTS USING FUZZY LOGIC.", IIOABJ_7(5)193-202

67. 刁鸣,王小兰,高洪元, 差分头脑风暴算法及其在频谱感知中的应用,应用科技, 43卷第5期,201610月。 Differential brain storm optimization algorithm and its application to spectrum sensing, Applied Science and Technology, Vol. 43, No. 5, October, 2016.

68. Hui, Xu, and Gu Hong. "An SAR De-noising Algorithm Based on Brainstorming Optimization Strategy in NSCT Domain." International Journal of Simulation--Systems, Science & Technology 17.17 (2016).

69. Pal, P. S., Kar, R., Mandal, D., & Ghoshal, S. P. Parametric Identification with Performance Assessment of Wiener Systems Using Brain Storm Optimization Algorithm. Circuits, Systems, and Signal Processing, 1-39

70. Yu Xue, and Tinghuai Ma, Classification Based on Brain Storm Optimization Algorithm, Proceedings of 2016 Bio-inspired Computing – Theories and Applications, M. Gong et al. (Eds.): BIC-TA 2016, Part I, CCIS 681,, pp. 1–6, 2016, Springer.

71. Zheng X, Lei Y, Gong M, et al. Multifactorial Brain Storm Optimization Algorithm[C]//Bio-Inspired Computing-Theories and Applications. Springer, Singapore, 2016: 47-53

72. El-Abd, Mohammed. "Cooperative Coevolution using The Brain Storm Optimization Algorithm." pdfs.semanticscholar.org

73. Z. Hua, J. Chen, and Y. Xie, “Brain storm optimization with discrete particle swarm optimization for tsp,” in Proceedings of 2016 International Conference on Computational Intelligence and Security (CIS 2016). Wuxi, China: IEEE, 2016, pp. 190–193.

74. Ma, Xinyuan, and Ning Xian. "A Re-estimation Brain Storm Optimization to Train Hidden Markov Model for Transcription Factor Binding Site Analysis." Machine Learning and Applications (ICMLA), 2016 15th IEEE International Conference on. IEEE, 2016.



75. Madheswari K, Venkateswaran N, Sowmiya V. Visible and thermal image fusion using curvelet transform and brain storm optimization[C]//Region 10 Conference (TENCON), 2016 IEEE. IEEE, 2016: 2826-2829

76. Ramadan R A, Khedr A Y. Brain storming algorithm for coverage and connectivity problem in wireless sensor network[C]//Communication, Management and Information Technology: International Conference on Communciation, Management and Information Technology (ICCMIT 2016, Cosenza, Italy, 26-29 April 2016). CRC Press, 2016: 371-375


2017

77. Ma X, Jin Y, Dong Q. A Generalized Dynamic Fuzzy Neural Network Based on Singular Spectrum Analysis Optimized by Brain Storm Optimization for Short-Term Wind Speed Forecasting[J]. Applied Soft Computing, May 2017.

78. Cao, Zijian, Xiaofeng Rong, and Zhiqiang Du. "An Improved Brain Storm Optimization with Dynamic Clustering Strategy." MATEC Web of Conferences. Vol. 95. EDP Sciences, 2017.

79. Verma, Dipti, and Sipi Dubey. "Fuzzy Brain Storm Optimization and Adaptive thresholding for Multimodal Vein-Based Recognition System." International Journal of Pattern Recognition and Artificial Intelligence 31, 1756007 (2017) .

80. Ravi, Chandrasekar, and Neelu Khare. "BSFS: Design and Development of Exponential Brain Storm Fuzzy System for Data Classification." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, April 2017, Vol. 25, No. 02 : pp. 267-28]

81. El-Abd, Mohammed. "Global-best Brain Storm Optimization Algorithm." Swarm and Evolutionary Computation (2017).

82. 陈山,宋樱,房胜男,盛碧琦,潘天红. 基于头脑风暴优化算法的Wiener模型参数辨识, 控制与决策, 2017-04-25. CHEN Shan, SONG Ying , FANG Sheng Nan1 , SHENG Bi Qi , PAN Tian Hong, Parameter Identification of Wiener Systems Using Brain Storm Optimization Algorithm

83. Ahmed Y Khedr, Brain Storm Optimization for Sensors’ Duty Cycle in Wireless Sensor Network, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 6, Issue 4, April 2017

84. Wang, G. G., Hao, G. S., Cheng, S., Shi, Y., & Cui, Z. (2017, June). An improved Brain Storm Optimization algorithm based on graph theory. In Evolutionary Computation (CEC), 2017 IEEE Congress on (pp. 509-515). IEEE.

85. García-Ródenas, R., Linares, L. J., & López-Gómez, J. A. (2017, June). A cooperative Brain Storm Optimization Algorithm. In Evolutionary Computation (CEC), 2017 IEEE Congress on (pp. 838-845). IEEE.

86. Jin, C., & Qin, A. K. (2017, June). A GPU-based implementation of brain storm optimization. In Evolutionary Computation (CEC), 2017 IEEE Congress on (pp. 2698-2705). IEEE.

87. Cheng, S., Sun, Y., Chen, J., Qin, Q., Chu, X., Lei, X., & Shi, Y. (2017, June). A comprehensive survey of brain storm optimization algorithms. In Evolutionary Computation (CEC), 2017 IEEE Congress on (pp. 1637-1644). IEEE.

88. Hong Wang, Jia Liu, Wenjie Yi, Ben Niu and J.J Baek, An Improved Brain Storm Optimization with Learning Strategy, 2017 International Conference on Swarm Intelligence (ICSI2017), Fukuoka, Japan, July 27 –August 1, 2017

89. Yali Wu, Xinrui Wang, Yulong Fu and Yingruo Xu, Difference Brain Storm Optimization for Combined Heat and Power Economic Dispatch, 2017 International Conference on Swarm Intelligence (ICSI2017), Fukuoka, Japan, July 27 –August 1, 2017 [PDF]

90. Kang, Lu, Yali Wu, Xinrui Wang, and Xiaohua Feng. "Brain storming optimization algorithm for heating dispatch scheduling of thermal power plant." In Control And Decision Conference (CCDC), 2017 29th Chinese, pp. 4704-4709. IEEE, 2017.

91. 吴秀丽,张志强, 李俊青, 求解离散调度问题的双机制头脑风暴优化算法 A Brain Storm Optimization Algorithm Integrating diversity and Discussion mechanism for Solving Discrete Production Scheduling Problem),控制与决策(Control and Decision, 32 9, 2017 9;

92. 梁志刚, 顾军华, 董永峰. 基于头脑风暴优化算法的多机器人气味源定位[J]. 计算机应用, 2017: 0-0.



93. Tuba, Eva, Edin Dolicanin, and Milan Tuba. "Chaotic Brain Storm Optimization Algorithm." International Conference on Intelligent Data Engineering and Automated Learning. Springer, Cham, 2017.

94. Cao, Y., Chen, W., Cheng, S., Sun, Y., Liu, Q., Li, Y., & Shi, Y. (2017, November). A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals. In Asia-Pacific Conference on Simulated Evolution and Learning (pp. 27-38). Springer, Cham.

95. Chu, X., Chen, J., Cai, F., Chen, C., & Niu, B. (2017, November). Augmented Brain Storm Optimization with Mutation Strategies. In Asia-Pacific Conference on Simulated Evolution and Learning(pp. 949-959). Springer, Cham.

96. Verma, Dipti, and Sipi Dubey. "Fuzzy least brain storm optimization and entropy-based Euclidean distance for multimodal vein-based recognition system." Journal of Central South University 24.10 (2017): 2360-2371.

97. Wei Chen, YingYing Cao, Yifei Sun, Qunfeng Liu, Yun Li. (2017). Improving Brain Storm Optimization Algorithm via Simplex Search. arXiv preprint arXiv:1712.03166.

98. Zhenshou Song, Jiaqi Peng, Chunquan Li, & Peter X. Liu. (2017). A Simple Brain Storm Optimization Algorithm with a Periodic Quantum Learning Strategy. IEEE Access.

99. Duan Jiandong, Chen Lupeng, Sun Qian, Wang Jing, Mu Teng, Yan Fuping, "Optimal Scheduling Strategy of Active Distribution System Using Brain Storm Optimization Algorithm." The Journal of Engineering 1.1 (2017).

100. Xia, Y., Huang, J. S., Tang, W., & Wu, D. (2017). Quantum Brain Storm Optimization of GaN Power Amplifier Design. 2017 International Conference on Computer Science and Application Engineering (CSAE 2017).

101. 陈宏伟, 鄢来仪, & 叶志伟. (2017). 头脑风暴算法在多阈值 Otsu 分割法中的应用. 湖北工业大学学报, 32(5), 59-62.

102. 吴亚丽, 付玉龙, 王鑫睿, and 刘庆. 目标空间聚类的差分头脑风暴优化算法. 控制理论与应用Control Theory & Applications, 34(12):15831593, 12 2017

103. Adriana Cervantes-Castillo, Guillermo Leguizamon, and Efren Mezura-Montes, Exploring Boundary Constraints using the Modified BSO and a Boundary Search operator : MBSO-BS, 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2017). Ixtapa, Mexico

104. Huaxin Qiu, Haibin Duan, Yuhui Shi, Ziwei Zhou and Xiaoguang Hu Chaotic Predator-Prey Brain Storm Optimization for Continuous Optimization Problems The 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017) Hawaii USA Nov. 27 to Dec 1, 2017

105. Margain L., Ochoa A., Almaguer L.M., Velázquez R. , Model on Oil Platform Using Brain Storm Optimization Algorithm. In: Abraham A., Muhuri P., Muda A., Gandhi N. (eds) Hybrid Intelligent Systems. HIS 2017. Advances in Intelligent Systems and Computing, vol 734. Springer, Cham

106. Tuba E., Capor-Hrosik R., Alihodzic A., Tuba M., Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm. In: Abraham A., Muhuri P., Muda A., Gandhi N. (eds) Hybrid Intelligent Systems. HIS 2017. Advances in Intelligent Systems and Computing, vol 734. Springer, Cham

107. H. Zhou, M. Jiang, Content-based image retrieval based on multi-feature fusion optimized by brain storm optimization, in: Proceedings of 2017 International Conference on Computing Intelligence and Information System (CIIS 2017), IEEE, Nanjing, China, 2017, pp. 72–78. doi:10.1109/CIIS.2017.20.

108. Qiong, W. U., Tong, X. U., & HUANG, J. S. (2017). A Quantum Twin Brain Storm Optimization for Fog Computing in 5G. DEStech Transactions on Engineering and Technology Research, (ICMM2017).


2018

109. Yadav, P. (2018). Cluster based-image descriptors and fractional hybrid optimization for medical image retrieval. Cluster Computing, 1-15.



110. Ganesh, S., & Kanimozhi, R. (2018). Multi Objective Approach for Capacitor Placement Based on Load Balancing Index in Radial Distribution System. Journal of Computational and Theoretical Nanoscience, 15(1), 282-288.

111. Shi Cheng; Junfeng Chen; Xiujuan Lei; Yuhui ShiLocating Optima via Brain Storm Optimization Algorithms, IEEE AccessYear: 2018, Volume: PP, Issue: 99

112. Xianghua Chu, Jiansheng Chen, Fulin Cai, Li Li, Quande Qin, Adaptive brainstorm optimisation with multiple strategies, Memetic Computing (2018): 1-11

113. Ke, Liangjun. "A brain storm optimization approach for the cumulative capacitated vehicle routing problem." Memetic Computing (2018): 1-11.

114. Yirui Wang, Shangce Gao, Yang Yu, Zhe Xu, (2017). The discovery of population interaction with a power law distribution in brain storm optimization. Memetic Computing, 1-23 (accepted)

115. Yang Yu, Shangce Gao, Shi Cheng, Yirui Wang, Shuangyu Song, Fenggang Yuan, (2017). CBSO: a memetic brain storm optimization with chaotic local search. Memetic Computing, 1-15. (accepted)

116. Haibin Duan, Daifeng Zhang, Yuhui Shi, Yimin DengClose formation flight of swarm unmanned aerial vehicles via metric-distance brain storm optimizationMemetic Computing. (accepted)

117. Thanga Revathi, S., Ramaraj, N. & Chithra, S., Brain storm-based Whale Optimization Algorithm for privacy-protected data publishing in cloud computing, Cluster Comput (2018). https://doi.org/10.1007/s10586-018-2200-5

118. 程适, 陈俊风, 孙奕菲, 史玉回, 数据驱动的发展式头脑风暴优化算法综述, 郑州大学学报(工学版), 20185月, 39卷,第3 期, 22-28

119. C.Li, Z.Song, J.Fan, Q.Cheng, P.X. Liu, A brain storm optimization with multiinformation interactions for global optimization problems, IEEE Access (2018) in pressdoi:10.1109/ACCESS.2018.2821118.

120. DOLICANIN, E., FETAHOVIC, I., TUBA, E., CAPOR-HROSIK, R., & TUBA, M. (2018). Unmanned Combat Aerial Vehicle Path Planning by Brain Storm Optimization Algorithm. Studies in Informatics and Control, 27(1), 15-24.


Books

1. 吴亚丽and 焦尚彬. 头脑风暴优化算法理论及应用. 智能科学技术著作丛书. 科学出版社, 北京, 2017.


PhD Dissertations

2. 曹斌Bin Cao. 生物启发式智能计算及其应用的研究Research on Biological Inspired Intelligent Computation and Its Applications. PhD thesis, 吉林大学Jilin University, 长春, June 2012.

3. 杨玉婷. 头脑风暴优化算法与基于视频的非接触式运动定量分析方法研究. PhD thesis, 浙江大学, 杭州, 2015.

4. Soyinka Olukunle Kolawole, 基于头脑风暴优化的卫星编队控制Satellite Formation Control Based on Brain Storm Optimization, 北京航空航天大学Beihang University, Beijing, China, 2015


Master Thesis

5. 张娜. 求解非线性方程的智能优化算法. Master's thesis, 吉林大学, 长春, 2013.

6. 赵秀谊. 头脑风暴优化算法及其应用研究. Master's thesis, 西安理工大学, 西安, 2014.

7. 沈林. 基于头脑风暴算法优化的v-SVR的研究及应用|以股市为例.Master's thesis, 兰州大学, 兰州, 2014.

8. 张静姝. 推荐系统中基于智能优化算法的矩阵分解. Master's thesis,吉林大学, 长春, 2014.



9. 关海盈. 基于头脑风暴优化算法和混料试验设计的配煤优化问题研究.Master's thesis, 西安理工大学, 西安, 2015.

10. 易阳. 基于结构域信息的蛋白质复合物识别与疾病基因预测. Master's thesis, 华中师范大学, 武汉, 2016.

11. 周恒俊. 智能优化算法及其在图像检索中的应用研究. Master's thesis, 山东大学, 济南, 2016.


Patents

12. 吴亚丽. 基于头脑风暴的圆盘剪重叠量控制器参数优化方法, 2014. CN104460320A.

13. 吴亚丽and 郭晓平and谢丽霞. 一种基于头脑风暴的火电厂经济环境调度方法, 2014. CN104037757A.

14. 吴亚丽. 基于多目标头脑风暴的圆盘剪重叠量参数调整方法, 2014. CN104614982A.

15. 高洪元. 基于量子头脑风暴的异构传感器网络最佳目标覆盖, 2017. CN107396375A.


2018-09-19 11:23
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Welcome to Swarm Intelligence community

Swarm Intelligence is a field of Computer science. It is a form of Artificial intelligence. Some animals, mostly insects like ants, or bees form large colonies. These colonies are made of many animals that communicate with each other. Each animal is relatively simple, but by working together with other animals it is able to solve complex tasks.

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