较新颖的智能优化算法[通俗易懂]

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较新颖的智能优化算法

序号	方法	参考文献	年份
1	人群搜索算法	Dai, C., Y. Zhu, and W. Chen. Seeker optimization algorithm. in International Conference on Computational and Information Science. 2006. Springer.	2006
2	人工蜂群算法	Karaboga, D. and B.J.J.o.g.o. Basturk, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. 2007. 39(3): p. 459-471.	2007
3	帝国竞争算法	Atashpaz-Gargari, E. and C. Lucas. Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. in 2007 IEEE congress on evolutionary computation. 2007. Ieee.	2007
4	智能水滴算法	Hosseini, H.S. Problem solving by intelligent water drops. in 2007 IEEE congress on evolutionary computation. 2007. IEEE.	2007
5	生物地理优化算法	Simon, D.J.I.t.o.e.c., Biogeography-based optimization. 2008. 12(6): p. 702-713.	2008
6	萤火虫算法	Yang, X.-S. Firefly algorithms for multimodal optimization. in International symposium on stochastic algorithms. 2009. Springer.	2009
7	布谷鸟搜索算法	Yang, X.-S. and S. Deb. Cuckoo search via Lévy flights. in 2009 World congress on nature & biologically inspired computing (NaBIC). 2009. IEEE.	2009
8	引力搜索算法	Rashedi, E., H. Nezamabadi-Pour, and S.J.I.s. Saryazdi, GSA: a gravitational search algorithm. 2009. 179(13): p. 2232-2248.	2009
9	觅食搜索算法	Oftadeh, R., et al., A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search. 2010. 60(7): p. 2087-2098.	2010
10	蝙蝠算法	Yang, X.-S., A new metaheuristic bat-inspired algorithm, in Nature inspired cooperative strategies for optimization (NICSO 2010). 2010, Springer. p. 65-74.	2010
11	风驱动优化算法	Bayraktar, Z., M. Komurcu, and D.H. Werner. Wind Driven Optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics. in 2010 IEEE antennas and propagation society international symposium. 2010. IEEE.	2010
12	手榴弹爆炸算法	Ahrari, A. and A.A.J.A.S.C. Atai, Grenade explosion method—a novel tool for optimization of multimodal functions. 2010. 10(4): p. 1132-1140.	2010
13	头脑风暴优化算法	Shi, Y. Brain storm optimization algorithm. in International conference in swarm intelligence. 2011. Springer.	2011
14	基于教与学的优化算法	Rao, R.V., V.J. Savsani, and D.J.C.-A.D. Vakharia, Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. 2011. 43(3): p. 303-315.	2011
15	花授粉算法	Yang, X.-S. Flower pollination algorithm for global optimization. in International conference on unconventional computing and natural computation. 2012. Springer.	2012
16	果蝇优化算法	Pan, W.-T.J.K.-B.S., A new fruit fly optimization algorithm: taking the financial distress model as an example. 2012. 26: p. 69-74.	2012
17	磷虾优化算法	Gandomi, A.H., A.H.J.C.i.n.s. Alavi, and n. simulation, Krill herd: a new bio-inspired optimization algorithm. 2012. 17(12): p. 4831-4845.	2012
18	狼群算法	吴虎胜, 张凤鸣, and 吴.J. 系统工程与电子技术, 一种新的群体智能算法——狼群算法. 2010. 35(11): p. 2430-2438.	2010
19	海豚回声定位算法	Kaveh, A. and N.J.A.i.E.S. Farhoudi, A new optimization method: Dolphin echolocation. 2013. 59: p. 53-70.	2013
20	鸽群优化算法	Duan, H., P.J.I.j.o.i.c. Qiao, and cybernetics, Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning. 2014.	2014
21	灰狼优化算法	Mirjalili, S., S.M. Mirjalili, and A.J.A.i.e.s. Lewis, Grey wolf optimizer. 2014. 69: p. 46-61.	2014
22	物体碰撞优化算法	Kaveh, A., V.R.J.C. Mahdavi, and Structures, Colliding bodies optimization: a novel meta-heuristic method. 2014. 139: p. 18-27.	2014
23	水波优化算法	Zheng, Y.-J.J.C. and O. Research, Water wave optimization: a new nature-inspired metaheuristic. 2015. 55: p. 1-11.	2015
24	闪电搜索算法	Shareef, H., A.A. Ibrahim, and A.H.J.A.S.C. Mutlag, Lightning search algorithm. 2015. 36: p. 315-333.	2015
25	Jaya算法	Rao, R.J.I.J.o.I.E.C., Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. 2016. 7(1): p. 19-34.	2016
26	蜻蜓算法	Mirjalili, S.J.N.C. and Applications, Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. 2016. 27(4): p. 1053-1073.	2016
27	鲸鱼优化算法	Mirjalili, S. and A.J.A.i.e.s. Lewis, The whale optimization algorithm. 2016. 95: p. 51-67.	2016
28	多元宇宙优化算法	Mirjalili, S., et al., Multi-verse optimizer: a nature-inspired algorithm for global optimization. 2016. 27(2): p. 495-513.	2016
29	乌鸦搜索算法	Askarzadeh, A.J.C. and Structures, A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. 2016. 169: p. 1-12.	2016
30	蝴蝶算法	Qi, X., Y. Zhu, and H.J.J.o.c.s. Zhang, A new meta-heuristic butterfly-inspired algorithm. 2017. 23: p. 226-239.	2017
31	雷电附着优化算法	Nematollahi, A.F., A. Rahiminejad, and B.J.A.S.C. Vahidi, A novel physical based meta-heuristic optimization method known as Lightning Attachment Procedure Optimization. 2017. 59: p. 596-621.	2017
32	斑鬣狗优化算法	Dhiman, G. and V.J.A.i.E.S. Kumar, Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications. 2017. 114: p. 48-70.	2017
33	松鼠搜索算法	Jain, M., et al., A novel nature-inspired algorithm for optimization: Squirrel search algorithm. 2019. 44: p. 148-175.	2019