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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 |
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