关于梦想的新颖标题,新颖题目大全

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.20062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. 459-471.20073帝国竞争算法Atashpaz-Gargari, E. and C. 超级的西装. Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. in 2007 IEEE congress on evolutionary computation. 2007. Ieee.20074智能水滴算法Hosseini, H.S. Problem solving by intelligent water drops. in 2007 IEEE congress on evolutionary computation. 2007. IEEE.20075生物地理优化算法Simon, D.J.I.t.o.e.c., Biogeography-based optimization. 2008. 12(6): p. 702-713.20086萤火虫算法幸福的季节, X.-S. Fire虚幻的西装 algorithms for multimodal optimization. in International symposium on stochastic algorithms. 2009. Springer.20097布谷鸟搜索算法幸福的季节, X.-S. and S. Deb. Cuckoo search via Lévy flights. in 2009 World congress on nature & biologically inspired computing (NaBIC). 2009. IEEE.20098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. 2232-2248.20099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. 2087-2098.201010蝙蝠算法幸福的季节, X.-S., A new metaheuristic bat-inspired algorithm, in Nature inspired cooperative strategies for optimization (NICSO 2010). 2010, Springer. p. 65-74.201011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.201012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. 1132-1140.201013头脑风暴优化算法Shi, Y. Brain storm optimization algorithm. in International conference in swarm intelligence. 2011. Springer.201114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. 303-315.201115花授粉算法幸福的季节, X.-S. Flower pollination algorithm for global optimization. in International conference on unconventional computing and natural computation. 2012. Springer.201216果蝇优化算法Pan, W.-T.J.K.-B.S., A new fruit 虚幻的西装 optimization algorithm: taking the financial distress model as an example. 2012. 26: p. 69-74.201217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. 4831-4845.201218狼群算法彪壮的白开水, xydxmg, 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. 2430-2438.201019海豚回声定位算法Kaveh, A. and N可爱的帆布鞋, A new optimization method: Dolphin echolocation. 2013. 59: p. 53-70.201320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. 2014.201421灰狼优化算法Mirjalili, S., S.M. Mirjalili, jmdxbw, Grey wolf optimizer. 2014. 69: p. 46-61.201422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. 18-27.201423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. 1-11.201524闪电搜索算法Shareef, H., 神勇的香烟, and A.H.J.A.S.C. Mutlag, Lightning search algorithm. 2015. 36: p. 315-333.201525Jaya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. 19-34.201626蜻蜓算法Mirjalili, S.J.N.C. and Applications, Dragon虚幻的西装 algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. 2016. 27(4): p. 1053-1073.201627鲸鱼优化算法Mirjalili, S. jmdxbw, The whale optimization algorithm. 2016. 95: p. 51-67.201628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. 495-513.201629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. 1-12.201630蝴蝶算法Qi, X., Y. Zhu, and H.J.J.o.c.s. Zhang, A new meta-heuristic butter虚幻的西装-inspired algorithm. 2017. 23: p. 226-239.201731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. 596-621.201732斑鬣狗优化算法Dhiman, G. and V.干净的冰棍, Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications. 2017. 114: p. 48-70.201733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