| 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 |