最早是在2014年，接触到群体智能，那时候还只是小白，和老婆一起探索了下处于起步阶段的算法 ，随后在精读灰狼优化算法时，发现一些存在冲突的地方，于是提出了改进，偿试写英文SCI期刊论文，但一直未果，2018年转业后，不知道做什么，阅读了中科院白皮书人工智能概要，发现群体智能也是一个大方向，于是转入较为深入的研究，积累素材，先是发掘了168个基础函数，然后据此深入做一些单目标优化，构建了基准，引导学生加入团队一起做。随后逐步想转入应用和多目标优化，目前还在路上。

这几天接受了一个会议keynote speaker邀请，准备稿子，想把过去的工作总结一下，于是汇总工作发现，在群体智能上，已经有40篇稿子了，其中SCI检索差不多10篇，其余都是在会议上宣读的小改进。

价值不算太高，主要是还没有找到应用，从今年起，开始慢慢深入了。

[1] Juan Zhao, Zheng Ming Gao.The bat algorithm and its parameters: The 4th International Conference on Electronic, Communications and Networks (CECNet2014) Boca Raton : CRC Press, [2014], 2015[C]. Boca Raton : CRC Press, [2014], IV:  1323-1326. 10.1201/b18592-237

[2] Zheng-Ming Gao, Juan Zhao. An Improved Grey Wolf Optimization Algorithm with Variable Weights[J]. Computational Intelligence and Neuroscience, 2019, 2019: 2981282. 10.1155/2019/2981282

[3] Zheng-Ming GAO, Juan ZHAO, Su-Ruo Li, et al.The Improved Equilibrium Optimization Algorithm: 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 24-26 April 2020, 2020[C].  26-30. 10.1109/AEMCSE50948.2020.00013

[4] G. A. O. Z. -M, Zhao J, H. U. Y. -R, et al.The improved Harris hawk optimization algorithm with the Tent map: 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), 18-20 Oct. 2019, 2019[C].  336-339. 10.1109/EITCE47263.2019.9095091

[5] Juan Zhao, Zheng-Ming Gao. The Chaotic Slime Mould Algorithm with Chebyshev Map[J]. Journal of Physics: Conference Series, 2020, 1631: 012071. 10.1088/1742-6596/1631/1/012071

[6] Juan Zhao, Zheng-Ming Gao. The improved mayfly optimization algorithm with Chebyshev map[J]. Journal of Physics: Conference Series, 2020, 1684: 012075. 10.1088/1742-6596/1684/1/012075

[7] Juan Zhao, Zheng-Ming GAO, Bao-Lian JIA.The Improved Slime Mould Algorithm with Piecewice Map: 2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), 7-9 Aug. 2020, 2020[C].  25-29. 10.1109/ISCEIC51027.2020.00013

[8] Juan Zhao, Zheng-Ming Gao, Yu-Jun Zhang. Piecewise Linear map enabled Harris Hawk optimization algorithm[J]. Journal of Physics: Conference Series, 2021, 1994 (1): 012038. 10.1088/1742-6596/1994/1/012038

[9] Juan Zhao, Zheng-Ming Gao, Wu Sun. The improved slime mould algorithm with Levy flight[J]. Journal of Physics: Conference Series, 2020, 1617: 012033. 10.1088/1742-6596/1617/1/012033

[10] Zheng-Ming Gao, Juan Zhao, Su-Ruo Li, et al. The improved mayfly optimization algorithm[J]. Journal of Physics: Conference Series, 2020, 1684: 012077. 10.1088/1742-6596/1684/1/012077

[11] Zheng-Ming GAO, Juan ZHAO, Qian Yu, et al.The improved slime mould algorithm with exponential functions: 2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), 7-9 Aug. 2020, 2020[C].  30-33. 10.1109/ISCEIC51027.2020.00014

[12] Zheng-Ming Gao, Juan Zhao, Su-Ruo Li. The Binary Equilibrium Optimization Algorithm with Sigmoid Transfer Functions:  Proceedings of the 2020 12th International Conference on Machine Learning and Computing, Shenzhen, China, [C]. Association for Computing Machinery,  2020.  193–197. 10.1145/3383972.3384064

[13] Juan Zhao, Zheng-Ming Gao. Simulation Research on the Binary Equilibrium Optimization Algorithm:  Proceedings of the 2020 12th International Conference on Machine Learning and Computing, Shenzhen, China, [C]. Association for Computing Machinery,  2020.  140–144. 10.1145/3383972.3384063

[14] Zhengming Gao, Juan Zhao, Xuejun Tian. The Improved Equilibrium Optimization Algorithm with Averaged Candidates[J]. Journal of Physics: Conference Series, 2020, 1575: 012105. 10.1088/1742-6596/1575/1/012105

[15] Juan Zhao, Zhengming Gao. The Improved Equilibrium Optimization Algorithm with Best Candidates[J]. Journal of Physics: Conference Series, 2020, 1575: 012089. 10.1088/1742-6596/1575/1/012089

[16] Juan Zhao, Zheng-Ming Gao. The negative mayfly optimization algorithm[J]. Journal of Physics: Conference Series, 2020, 1693 (1): 012098. 10.1088/1742-6596/1693/1/012098

[17] Zhao J, G. A. O. Z. -M.The fully informed mayfly optimization algorithm: 2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE), 30 Oct.-1 Nov. 2020, 2020[C].  450-453. 10.1109/ICBASE51474.2020.00101

[18] Zhao J, G. A. O. Z. -M.Bare bones mayfly optimization algorithm: 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 23-25 Oct. 2020, 2020[C].  238-241. 10.1109/MLBDBI51377.2020.00051

[19] Yu-Jun Zhang, Yu-Fei Wang, Yu-Xin Yan, et al. LMRAOA: An improved arithmetic optimization algorithm with multi-leader and high-speed jumping based on opposition-based learning solving engineering and numerical problems[J]. Alexandria Engineering Journal, 2022, 61 (12): 12367-12403. https://doi.org/10.1016/j.aej.2022.06.017

[20] G. A. O. Z. -M, L. I. S. -R, Zhao J, et al.Heterogeneous mayfly optimization algorithm: 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 23-25 Oct. 2020, 2020[C].  227-230. 10.1109/MLBDBI51377.2020.00049

[21] Juan ZHAO, Zheng-Ming GAO. The heterogeneous Aquila optimization algorithm[J]. Mathematical Biosciences and Engineering, 2022, 19 (6): 5867-5904. 10.3934/mbe.2022275

[22] Zheng-Ming Gao, Juan Zhao, Su-Ruo Li, et al. The improved equilibrium optimization algorithm with multiple updating discipline[J]. Journal of Physics: Conference Series, 2020, 1682: 012054. 10.1088/1742-6596/1682/1/012054

[23] Zheng-Ming Gao, Juan Zhao, Xu-Ruo Li, et al. An improved sine cosine algorithm with multiple updating ways for individuals[J]. Journal of Physics: Conference Series, 2020, 1678: 012079. 10.1088/1742-6596/1678/1/012079

[24] Juan Zhao, Zheng-Ming Gao. An improved grey wolf optimization algorithm with multiple tunnels for updating[J]. Journal of Physics: Conference Series, 2020, 1678: 012096. 10.1088/1742-6596/1678/1/012096

[25] J. Zhao, Z. M. Gao.The multi-start mayfly optimization algorithm: 2020 7th International Forum on Electrical Engineering and Automation (IFEEA), 25-27 Sept. 2020, 2020[C].  879-882. 10.1109/IFEEA51475.2020.00184

[26] Juan Zhao, Zheng-Ming Gao, Hua-Feng Chen. The Simplified Aquila Optimization Algorithm[J]. IEEE Access, 2022, 10: 22487-22515. 10.1109/ACCESS.2022.3153727

[27] Z. M. Gao, S. R. Li, J. Zhao, et al.The guaranteed convergence mayfly optimization algorithm: 2020 7th International Forum on Electrical Engineering and Automation (IFEEA), 25-27 Sept. 2020, 2020[C].  858-861. 10.1109/IFEEA51475.2020.00179

[28] Yun-Feng Zou, Juan Zhao, Zheng-Ming Gao. Guaranteed Convergence Sine Cosine Algorithm:  Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, [C]. Association for Computing Machinery,  2021.  986–990. 10.1145/3501409.3501586

[29] G. A. O. Z. -M, L. I. S. -R, Zhao J, et al.Self-organizing hierarchical mayfly optimization algorithm: 2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE), 30 Oct.-1 Nov. 2020, 2020[C].  355-358. 10.1109/ICBASE51474.2020.00081

[30] Jiahao Zhang, Zhengming Gao, Suruo Li, et al. Improved intelligent clonal optimizer based on adaptive parameter strategy[J]. Mathematical Biosciences and Engineering, 2022, 19 (10): 10275-10315. 10.3934/mbe.2022481

[31] Yufei Wang, Yujun Zhang, Yuxin Yan, et al. An enhanced aquila optimization algorithm with velocity-aided global search mechanism and adaptive opposition-based learning[J]. Mathematical Biosciences and Engineering, 2023, 20 (4): 6422-6467. 10.3934/mbe.2023278

[32] J. Zhao, Z. M. Gao.The regrouping mayfly optimization algorithm: 2020 7th International Forum on Electrical Engineering and Automation (IFEEA), 25-27 Sept. 2020, 2020[C].  1026-1029. 10.1109/IFEEA51475.2020.00214

[33] Z. Gao, J. Zhao, S. Li.The hybridized slime mould and particle swarm optimization algorithms: 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), 20-22 Nov. 2020, 2020[C].  304-308. 10.1109/AUTEEE50969.2020.9315694

[34] Yu Jun Zhang, Yu X Yan, Juan Zhao, et al. AOAAO: The Hybrid Algorithm of Arithmetic Optimization Algorithm With Aquila Optimizer[J]. IEEE Access, 2022, 10: 10907-10933. 10.1109/ACCESS.2022.3144431

[35] Yu-Jun Zhang, Juan Zhao, Zheng-Ming Gao. Hybridized improvement of the chaotic Harris Hawk optimization algorithm and Aquila Optimizer[M]. SPIE, 2022.

[36] Yu-Jun Zhang, Yu-Xin YAN, Juan Zhao, et al.Chaotic map enabled algorithm hybridizing Hunger Games Search algorithm with Aquila Optimizer: ICMLCA 2021; 2nd International Conference on Machine Learning and Computer Application, 17-19 Dec. 2021, 2021[C].  1-5.

[37] J. Zhao, Z. Gao, Y. Tian.The hybridized equilibrium and particle swarm optimization algorithms: 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), 20-22 Nov. 2020, 2020[C].  294-298. 10.1109/AUTEEE50969.2020.9315629

[38] Yu-Jun Zhang, Yu-Xin Yan, Juan Zhao, et al. CSCAHHO: Chaotic hybridization algorithm of the Sine Cosine with Harris Hawk optimization algorithms for solving global optimization problems[J]. PLOS ONE, 2022, 17 (5): e0263387. 10.1371/journal.pone.0263387

[39] Juan ZHAO, Yu-Jun ZHANG, Shu-Jia LI, et al. A chaotic self-adaptive JAYA algorithm for parameter extraction of photovoltaic models[J]. Mathematical Biosciences and Engineering, 2022, 19 (6): 5638-5670. 10.3934/mbe.2022264

[40] Yu-Jun ZHANG, Yu-Fei WANG, Shu-Jia LI, et al. An enhanced adaptive comprehensive learning hybrid algorithm of Rao-1 and JAYA algorithm for parameter extraction of photovoltaic models[J]. Mathematical Biosciences and Engineering, 2022, 19 (6): 5610-5637. 10.3934/mbe.2022263