Table of metaheuristics
From Wikipedia, the free encyclopedia
Chronological table of metaheuristic algorithms
This is a chronological table of metaheuristic algorithms that only contains fundamental computational intelligence algorithms. Hybrid algorithms and multi-objective algorithms are not listed in the table below.
- Evolutionary-based
- Trajectory-based
- Nature-inspired
- Swarm-based
- Bio-inspired
- Physics/Chemistry-based
- Human-based
- Plant-based
- Art-inspired
- Ancient-inspired
The table
| Name | Abbreviation | Main category | Subcategory | Year published | Ref. |
|---|---|---|---|---|---|
| Simulated Annealing | SA | Trajectory-based | - | 1983 | [1] |
| Tabu Search | TS | Trajectory-based | - | 1989 | [2] |
| Genetic Algorithm | GA | Evolutionary-based | - | 1992 | [3] |
| Evolutionary Algorithm | EA | Evolutionary-based | - | 1994 | |
| Cultural Algorithm | CA | 1994 | [4] | ||
| Particle Swarm Optimization | PSO | Nature-inspired | Swarm-based | 1995 | [5] |
| Differential Evolution | DE | Evolutionary-based | - | 1997 | [6] |
| Local Search | LS | 1997 | |||
| Variable neighborhood search | VNS | Trajectory-based | - | 1997 | [7] |
| Guided Local Search | GLS | Trajectory-based | - | 1998 | [8] |
| Clonal Selection Algorithm | CSA | Evolutionary-based | - | 2000 | [9] |
| Harmony Search | HS | Evolutionary-based | - | 2001 | [10] |
| Memetic Algorithm | MA | Evolutionary-based | - | 2002 | |
| Iterative Local Search | ILS | Trajectory-based | - | 2003 | [11] |
| Artificial Bee Colony | ABC | Nature-inspired | Bio-inspired | 2005 | [12] |
| Ant Colony Optimization | ACO | Nature-inspired | Bio-inspired | 2006 | [13] |
| Glowworm Swarm Optimization | GSO | Nature-inspired | Swarm-based | 2006 | [14] |
| Shuffled Frog Leaping Algorithm | SFLA | Nature-inspired | Bio-inspired | 2006 | [15] |
| Invasive Weed Optimization | IWO | Nature-inspired | Plant-based | 2006 | [16] |
| Seeker Optimization Algorithm | SOA | Nature-inspired | Human-based | 2006 | [17] |
| Imperialistic Competitive Algorithm | ICA | Nature-inspired | Human-based | 2007 | [18] |
| Central Force Optimization | CFO | 2007 | [19] | ||
| Biogeography Based Optimization | BBO | Nature-inspired | Human-based | 2008 | [20] |
| Firefly Algorithm | FA | Nature-inspired | Bio-inspired | 2008 | [21] |
| Intelligent Water Drops | IWD | Nature-inspired | Swarm-based | 2008 | [22] |
| Monkey Algorithm | MA | Nature-inspired | Bio-inspired | 2008 | [23] |
| Cuckoo Search | CS | Nature-inspired | Bio-inspired | 2009 | [24] |
| Group Search Optimizer | GSO | Nature-inspired | Swarm-based | 2009 | [25] |
| Key Cutting Algorithm | KCA | 2009 | [26] | ||
| Hunting Search | HS | Nature-inspired | Swarm-based | 2009 | [27] |
| Chemical Reaction Optimization | CRO | Nature-inspired | Physics/Chemistry-based | 2009 | [28] |
| Bat Algorithm | BA | Nature-inspired | Bio-inspired | 2010 | [29] |
| Charged System Search | CSS | Nature-inspired | Physics/Chemistry-based | 2010 | [30] |
| Eagle Strategy | ES | Nature-inspired | 2010 | ||
| Fireworks Algorithm | FWA | 2010 | [31] | ||
| Cuckoo Optimization Algorithm | COA | Nature-inspired | Bio-inspired | 2011 | [32] |
| Stochastic Diffusion Search | SDS | 2011 | |||
| Teaching-Learning-Based Optimization | TLBO | Nature-inspired | Human-based | 2011 | [33] |
| Bacterial Colony Optimization | BCO | 2012 | [34] | ||
| Fruit Fly Optimization | FFO | 2012 | |||
| Krill Herd Algorithm | KHA | Nature-inspired | Bio-inspired | 2012 | [35] |
| Migrating Birds Optimization | MBO | Nature-inspired | Swarm-based | 2012 | [36] |
| Water Cycle Algorithm | WCA | 2012 | |||
| Backtracking Search Algorithm | BSA | Evolutionary-based | - | 2013 | [37] |
| Black Hole Algorithm | BH | Nature-inspired | Physics/Chemistry-based | 2013 | [38] |
| Dolphin Echolocation | DE | Nature-inspired | Bio-inspired | 2013 | [39] |
| Animal Migration Optimization | AMO | Nature-inspired | Swarm-based | 2013 | [40] |
| Keshtel Algorithm | KA | Nature-inspired | 2014 | [41] | |
| SDA Optimization Algorithm | SDA | Nature-inspired | Bio-inspired | 2014 | [42] |
| Artificial Root Foraging Algorithm | ARFA | Nature-inspired | Plant-based | 2014 | [43] |
| Bumble Bees Mating Optimization | BBMO | 2014 | |||
| Chicken Swarm Optimization | CSO | Nature-inspired | Bio-inspired | 2014 | [44] |
| Colliding Bodies Optimization | CBO | 2014 | [45] | ||
| Coral Reefs Optimization Algorithm | CROA | 2014 | |||
| Flower Pollination Algorithm | FPA | Nature-inspired | Plant-based | 2014 | [46] |
| Radial Movement Optimization | RMO | Nature-inspired | Swarm-based | 2014 | [47] |
| Spider Monkey Optimization | SMO | Nature-inspired | Bio-inspired | 2014 | [48] |
| Soccer League Competition | SLC | Nature-inspired | Human-based | 2014 | [49] |
| Artificial Algae Algorithm | AAA | 2015 | [50] | ||
| Adaptive Dimensional Search | ADS | 2015 | |||
| Alienated Ant Algorithm | AAA | 2015 | |||
| Artificial Fish Swarm Algorithm | AFSA | Nature-inspired | 2015 | ||
| Bottlenose Dolphin Optimization | BDO | Nature-inspired | 2015 | [51] | |
| Cricket Algorithm | CA | 2015 | [52] | ||
| Elephant Search Algorithm | ESA | Nature-inspired | Bio-inspired | 2015 | [53] |
| Grey Wolf Optimizer | GWO | Nature-inspired | Bio-inspired | 2015 | [54] |
| Jaguar Algorithm | JA | Nature-inspired | Bio-inspired | 2015 | [55] |
| Locust Swarm Algorithm | LSA | Nature-inspired | Swarm-based | 2015 | [56] |
| Moth-Flame Optimization | MFO | Nature-inspired | Bio-inspired | 2015 | [57] |
| Stochastic Fractal Search | SFF | Evolutionary-based | - | 2015 | [58] |
| Vortex Search Algorithm | VSA | Nature-inspired | Physics/Chemistry-based | 2015 | [59] |
| Water Wave Optimization | WWA | Nature-inspired | Physics/Chemistry-based | 2015 | [60] |
| Ant Lion Optimizer | ALO | Nature-inspired | Bio-inspired | 2015 | [61] |
| African Buffalo Optimization | ABO | Nature-inspired | Swarm-based | 2015 | [62] |
| Lightning Search Algorithm | LSA | Nature-inspired | Physics/Chemistry-based | 2015 | [63] |
| Across Neighborhood Search | ANS | Evolutionary-based | - | 2016 | [64] |
| Crow Search Algorithm | CSA | Nature-inspired | Bio-inspired | 2016 | [65] |
| Electromagnetic Field Optimization | EFO | Nature-inspired | Physics/Chemistry-based | 2016 | [66] |
| Joint Operations Algorithm | JOA | Nature-inspired | Swarm-based | 2016 | [67] |
| Lion Optimization Algorithm | LOA | Nature-inspired | Bio-inspired | 2016 | [68] |
| Sine Cosine Algorithm | SCA | Nature-inspired | Physics/Chemistry-based | 2016 | [69] |
| Virus Colony Search | VCS | Nature-inspired | Bio-inspired | 2016 | [70] |
| Whale Optimization Algorithm | WOA | Nature-inspired | Bio-inspired | 2016 | [71] |
| Red Deer Algorithm | RDA | Nature-inspired | Bio-inspired | 2016 | [72] |
| Phototropic Optimization Algorithm | POA | Nature-inspired | Plant-based | 2018 | [73] |
| Coyote Optimization Algorithm | COA | Nature-inspired | Swarm-based | 2018 | [74] |
| Owl Search Algorithm | OSA | Nature-inspired | Bio-inspired | 2018 | [75] |
| Squirrel Search Algorithm | SSA | Nature-inspired | Bio-inspired | 2018 | [76] |
| Social Engineering Optimizer | SEO | Nature-inspired | Human-based | 2018 | [77] |
| Emperor Penguin Optimizer | EPO | Nature-inspired | Bio-inspired | 2018 | [78] |
| Socio Evolution and Learning Optimization | SELO | Nature-inspired | Human-based | 2018 | [79] |
| Future Search Algorithm | FSA | Nature-inspired | Human-based | 2019 | [80] |
| Emperor Penguins Colony | EPC | Nature-inspired | Swarm-based | 2019 | [81] |
| Thermal Exchange Optimization | TEO | Nature-inspired | Physics/Chemistry-based | 2019 | [82] |
| Harris Hawks Optimization | HHO | Nature-inspired | Bio-inspired | 2019 | [83] |
| Political Optimizer | PO | Nature-inspired | Human-based | 2020 | [84] |
| Heap-Based Optimizer | HBO | Nature-inspired | Human-based | 2020 | [85] |
| Color Harmony Algorithm | CHA | Art-inspired | Color-based | 2020 | [86] |
| Stochastic Paint Optimizer | SPO | Art-inspired | Color-based | 2020 | [87] |
| Mayfly Optimization Algorithm | MOA | Nature-inspired | Bio-inspired | 2020 | [88] |
| Giza Pyramids Construction | GPC | Ancient-inspired | - | 2020 | [89] |
| Fire Hawk Optimizer | FHO | Nature-inspired | Bio-inspired | 2022 | [90] |
| Flying Fox Optimization Algorithm | FFO | Nature-inspired | Bio-inspired | 2023 | [91] |
| Waterwheel Plant Algorithm | WWPA | Nature-inspired | Plant-based | 2023 | [92] |
| Energy Valley Optimizer | EVO | Nature-inspired | Physics/Chemistry-based | 2023 | [93] |
| Special Forces Algorithm | SFA | Nature-inspired | Swarm-based | 2023 | [94] |
| Squid Game Optimizer | SGO | Nature-inspired | Human-based | 2023 | [95] |
| Snow Ablation Optimizer | SAO | Nature-inspired | Physics/Chemistry-based | 2023 | [96] |
| Spider Wasp Optimization | SWO | Nature-inspired | Bio-inspired | 2023 | [97] |
| Dujiangyan Irrigation System | DISO | Ancient-inspired | - | 2023 | [98] |
| Great Wall Construction Algorithm | GWCA | Ancient-inspired | - | 2023 | [99] |
| Puma Optimizer | PO | Nature-inspired | Bio-inspired | 2024 | [100] |
| Walrus Optimizer | WO | Nature-inspired | Bio-inspired | 2024 | [101] |
| Divine Religions Algorithm | DRA | Evolutionary-based | - | 2025 | [102] |
| Tianji’s Horse Racing Optimization | THRO | Ancient-inspired | - | 2025 | [103] |
| Schrödinger Optimizer | SRA | Nature-inspired | Physics/Chemistry-based | 2025 | [104] |
| Stellar Oscillation Optimizer | SOO | Nature-inspired | Physics/Chemistry-based | 2025 | [105] |
| Dhole Optimization Algorithm | DOA | Nature-inspired | Bio-inspired | 2025 | [106] |
| Hannibal Barca Optimizer | HBO | Ancient-inspired | - | 2025 | [107] |
| Octopus Optimization Algorithm | OOA | Nature-inspired | Bio-inspired | 2025 | [108] |
| Bitterling Colony Optimization | BCO | Nature-inspired | Bio-inspired | 2025 | [109] |
| Star Death | SD | Nature-inspired | Physics/Chemistry-based | 2025 | [110] |
References
- ↑ Kirkpatrick, S.; Gelatt, C. D.; Vecchi, M. P. (1983-05-13). "Optimization by Simulated Annealing". Science. 220 (4598): 671–680. Bibcode:1983Sci...220..671K. doi:10.1126/science.220.4598.671. ISSN 0036-8075. PMID 17813860. S2CID 205939.
- ↑ Glover, Fred (1989-08-01). "Tabu Search—Part I". ORSA Journal on Computing. 1 (3): 190–206. doi:10.1287/ijoc.1.3.190. ISSN 0899-1499.
- ↑ Holland, John H. (1992). Adaptation in natural and artificial systems : an introductory analysis with applications to biology, control, and artificial intelligence (1st MIT Press ed.). Cambridge, Mass.: MIT Press. ISBN 0-585-03844-9. OCLC 42854623.
- ↑ Sebald, Anthony V.; Fogel, Lawrence J. (1994-09-01). "Evolutionary Programming". Proceedings of the Third Annual Conference. WORLD SCIENTIFIC. pp. 1–386. doi:10.1142/9789814534116. ISBN 978-981-02-1810-2.
- ↑ Kennedy, J.; Eberhart, R. (November 1995). "Particle swarm optimization". Proceedings of ICNN'95 - International Conference on Neural Networks. Vol. 4. pp. 1942–1948 vol.4. doi:10.1109/ICNN.1995.488968. ISBN 0-7803-2768-3. S2CID 7367791.
- ↑ Storn, Rainer; Price, Kenneth (1997-12-01). "Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces". Journal of Global Optimization. 11 (4): 341–359. Bibcode:1997JGOpt..11..341S. doi:10.1023/A:1008202821328. ISSN 1573-2916. S2CID 5297867.
- ↑ Mladenović, N.; Hansen, P. (1997-11-01). "Variable neighborhood search". Computers & Operations Research. 24 (11): 1097–1100. doi:10.1016/S0305-0548(97)00031-2. ISSN 0305-0548.
- ↑ Balas, Egon; Vazacopoulos, Alkis (1998-02-01). "Guided Local Search with Shifting Bottleneck for Job Shop Scheduling". Management Science. 44 (2): 262–275. doi:10.1287/mnsc.44.2.262. ISSN 0025-1909.
- ↑ de Castro, L.N.; Von Zuben, F.J. (June 2002). "Learning and optimization using the clonal selection principle". IEEE Transactions on Evolutionary Computation. 6 (3): 239–251. Bibcode:2002ITEC....6..239D. doi:10.1109/TEVC.2002.1011539. ISSN 1941-0026.
- ↑ Zong Woo Geem; Joong Hoon Kim; Loganathan, G.V. (February 2001). "A New Heuristic Optimization Algorithm: Harmony Search". Simulation. 76 (2): 60–68. doi:10.1177/003754970107600201. ISSN 0037-5497. S2CID 20076748.
- ↑ Lourenço, Helena R.; Martin, Olivier C.; Stützle, Thomas (2003). "Iterated Local Search". In Glover, Fred; Kochenberger, Gary A. (eds.). Handbook of Metaheuristics. International Series in Operations Research & Management Science. Boston, MA: Springer US. pp. 320–353. arXiv:math/0102188. doi:10.1007/0-306-48056-5_11. ISBN 978-0-306-48056-0. S2CID 198489826.
- ↑ Karaboga, Dervis; Basturk, Bahriye (2007-11-01). "A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm". Journal of Global Optimization. 39 (3): 459–471. doi:10.1007/s10898-007-9149-x. ISSN 1573-2916. S2CID 8540283.
- ↑ Dorigo, Marco; Birattari, Mauro; Stutzle, Thomas (November 2006). "Ant colony optimization". IEEE Computational Intelligence Magazine. 1 (4): 28–39. doi:10.1109/MCI.2006.329691. ISSN 1556-6048.
- ↑ Krishnanand, K.N.; Ghose, D. (June 2005). "Detection of multiple source locations using a glowworm metaphor with applications to collective robotics". Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005. pp. 84–91. doi:10.1109/SIS.2005.1501606. ISBN 0-7803-8916-6. S2CID 17016908.
- ↑ Eusuff, Muzaffar; Lansey, Kevin; Pasha, Fayzul (2006-03-01). "Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization". Engineering Optimization. 38 (2): 129–154. doi:10.1080/03052150500384759. ISSN 0305-215X. S2CID 18117277.
- ↑ Mehrabian, A. R.; Lucas, C. (2006-12-01). "A novel numerical optimization algorithm inspired from weed colonization". Ecological Informatics. 1 (4): 355–366. Bibcode:2006EcInf...1..355M. doi:10.1016/j.ecoinf.2006.07.003. ISSN 1574-9541.
- ↑ Dai, Chaohua; Zhu, Yunfang; Chen, Weirong (2007). "Seeker Optimization Algorithm". In Wang, Yuping; Cheung, Yiu-ming; Liu, Hailin (eds.). Computational Intelligence and Security. Lecture Notes in Computer Science. Vol. 4456. Berlin, Heidelberg: Springer. pp. 167–176. doi:10.1007/978-3-540-74377-4_18. ISBN 978-3-540-74377-4. S2CID 15135923.
- ↑ Atashpaz-Gargari, Esmaeil; Lucas, Caro (September 2007). "Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition". 2007 IEEE Congress on Evolutionary Computation. pp. 4661–4667. doi:10.1109/CEC.2007.4425083. ISBN 978-1-4244-1339-3. S2CID 2736579.
- ↑ Formato, Richard (2007). "Central Force Optimization: a New Metaheuristic with Applications in Applied Electromagnetics". Progress in Electromagnetics Research. 77: 425–491. doi:10.2528/PIER07082403. ISSN 1070-4698.
- ↑ Simon, Dan (December 2008). "Biogeography-Based Optimization". IEEE Transactions on Evolutionary Computation. 12 (6): 702–713. Bibcode:2008ITEC...12..702S. doi:10.1109/TEVC.2008.919004. ISSN 1941-0026. S2CID 8319014.
- ↑ Yang, Xin-She (2009). "Firefly Algorithms for Multimodal Optimization". In Watanabe, Osamu; Zeugmann, Thomas (eds.). Stochastic Algorithms: Foundations and Applications. Lecture Notes in Computer Science. Vol. 5792. Berlin, Heidelberg: Springer. pp. 169–178. doi:10.1007/978-3-642-04944-6_14. ISBN 978-3-642-04944-6. S2CID 34975975.
- ↑ Hosseini, Hamed Shah (2009). "The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm". International Journal of Bio-Inspired Computation. 1 (1/2) 22775: 71. doi:10.1504/IJBIC.2009.022775. ISSN 1758-0366.
- ↑ Zhao R Q, Tang W S. Monkey algorithm for global numerical optimization. Journal of Uncertain Systems. 2008,2 (3):164-175.
- ↑ Yang, Xin-She; Suash Deb (December 2009). "Cuckoo Search via Lévy flights". 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC). pp. 210–214. doi:10.1109/NABIC.2009.5393690. ISBN 978-1-4244-5053-4. S2CID 206491725.
- ↑ He, S.; Wu, Q. H.; Saunders, J. R. (October 2009). "Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior". IEEE Transactions on Evolutionary Computation. 13 (5): 973–990. Bibcode:2009ITEC...13..973H. doi:10.1109/TEVC.2009.2011992. ISSN 1941-0026. S2CID 38375639.
- ↑ Qin, Jing (November 2009). "A new optimization algorithm and its application — Key cutting algorithm". 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). pp. 1537–1541. doi:10.1109/GSIS.2009.5408158. ISBN 978-1-4244-4914-9. S2CID 27652599.
- ↑ Oftadeh, R.; Mahjoob, M. J.; Shariatpanahi, M. (2010-10-01). "A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search". Computers & Mathematics with Applications. 60 (7): 2087–2098. Bibcode:2010CMwA...60.2087O. doi:10.1016/j.camwa.2010.07.049. ISSN 0898-1221.
- ↑ Lam, Albert Y. S.; Li, Victor O. K. (June 2010). "Chemical-Reaction-Inspired Metaheuristic for Optimization". IEEE Transactions on Evolutionary Computation. 14 (3): 381–399. Bibcode:2010ITEC...14..381L. doi:10.1109/TEVC.2009.2033580. hdl:10722/130634. ISSN 1941-0026. S2CID 2281747.
- ↑ Yang, Xin-She (2010). "A New Metaheuristic Bat-Inspired Algorithm". In González, Juan R.; Pelta, David Alejandro; Cruz, Carlos; Terrazas, Germán (eds.). Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Studies in Computational Intelligence. Vol. 284. Berlin, Heidelberg: Springer. pp. 65–74. doi:10.1007/978-3-642-12538-6_6. ISBN 978-3-642-12538-6. S2CID 14494281.
- ↑ Kaveh, A.; Talatahari, S. (2010-09-01). "A novel heuristic optimization method: charged system search". Acta Mechanica. 213 (3): 267–289. doi:10.1007/s00707-009-0270-4. ISSN 1619-6937. S2CID 119512430.
- ↑ Tan, Ying; Zhu, Yuanchun (2010). "Fireworks Algorithm for Optimization". In Tan, Ying; Shi, Yuhui; Tan, Kay Chen (eds.). Advances in Swarm Intelligence. Lecture Notes in Computer Science. Vol. 6145. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 355–364. doi:10.1007/978-3-642-13495-1_44. ISBN 978-3-642-13494-4.
- ↑ Rajabioun, Ramin (2011-12-01). "Cuckoo Optimization Algorithm". Applied Soft Computing. 11 (8): 5508–5518. doi:10.1016/j.asoc.2011.05.008. ISSN 1568-4946.
- ↑ Rao, R. V.; Savsani, V. J.; Vakharia, D. P. (2011-03-01). "Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems". Computer-Aided Design. 43 (3): 303–315. doi:10.1016/j.cad.2010.12.015. ISSN 0010-4485.
- ↑ Niu, Ben; Wang, Hong (2012-11-27). "Bacterial Colony Optimization". Discrete Dynamics in Nature and Society. 2012 698057: 1–28. doi:10.1155/2012/698057.
- ↑ Gandomi, Amir Hossein; Alavi, Amir Hossein (2012-12-01). "Krill herd: A new bio-inspired optimization algorithm". Communications in Nonlinear Science and Numerical Simulation. 17 (12): 4831–4845. Bibcode:2012CNSNS..17.4831G. doi:10.1016/j.cnsns.2012.05.010. ISSN 1007-5704.
- ↑ Duman, Ekrem; Uysal, Mitat; Alkaya, Ali Fuat (2012-12-25). "Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem". Information Sciences. 217: 65–77. doi:10.1016/j.ins.2012.06.032. hdl:11376/1393. ISSN 0020-0255.
- ↑ Civicioglu, Pinar (2013-04-01). "Backtracking Search Optimization Algorithm for numerical optimization problems". Applied Mathematics and Computation. 219 (15): 8121–8144. doi:10.1016/j.amc.2013.02.017. ISSN 0096-3003.
- ↑ Hatamlou, Abdolreza (2013-02-10). "Black hole: A new heuristic optimization approach for data clustering". Information Sciences. Including Special Section on New Trends in Ambient Intelligence and Bio-inspired Systems. 222: 175–184. doi:10.1016/j.ins.2012.08.023. ISSN 0020-0255.
- ↑ Kaveh, A.; Farhoudi, N. (2013-05-01). "A new optimization method: Dolphin echolocation". Advances in Engineering Software. 59: 53–70. doi:10.1016/j.advengsoft.2013.03.004. ISSN 0965-9978.
- ↑ Li, Xiangtao; Zhang, Jie; Yin, Minghao (2014-06-01). "Animal migration optimization: an optimization algorithm inspired by animal migration behavior". Neural Computing and Applications. 24 (7): 1867–1877. doi:10.1007/s00521-013-1433-8. ISSN 1433-3058. S2CID 4362350.
- ↑ Chandra S S, Vinod (2014-03-01). "Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithm". Applied Soft Computing. 25 (3): 184–203. doi:10.1016/j.asoc.2014.09.034. ISSN 1568-4946.
- ↑ Chandra, Vinod (2014-03-01). "Smell Detection Agent Based Optimization Algorithm". J. Inst. Eng. India Ser. B. 97 (3): 431–436. doi:10.1007/s40031-014-0182-0.
- ↑ Ma, Lianbo; Hu, Kunyuan; Zhu, Yunlong; Chen, Hanning; He, Maowei (2014). "A Novel Plant Root Foraging Algorithm for Image Segmentation Problems". Mathematical Problems in Engineering. 2014 471209: 1–16. doi:10.1155/2014/471209. ISSN 1024-123X.
- ↑ Meng, Xianbing; Liu, Yu; Gao, Xiaozhi; Zhang, Hengzhen (2014). "A New Bio-inspired Algorithm: Chicken Swarm Optimization". In Tan, Ying; Shi, Yuhui; Coello, Carlos A. Coello (eds.). Advances in Swarm Intelligence. Lecture Notes in Computer Science. Vol. 8794. Cham: Springer International Publishing. pp. 86–94. doi:10.1007/978-3-319-11857-4_10. ISBN 978-3-319-11857-4.
- ↑ Kaveh, A.; Mahdavi, V. R. (2014-07-15). "Colliding bodies optimization: A novel meta-heuristic method". Computers & Structures. 139: 18–27. doi:10.1016/j.compstruc.2014.04.005. ISSN 0045-7949.
- ↑ Yang, Xin-She (2012). "Flower Pollination Algorithm for Global Optimization". In Durand-Lose, Jérôme; Jonoska, Nataša (eds.). Unconventional Computation and Natural Computation. Lecture Notes in Computer Science. Vol. 7445. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 240–249. arXiv:1312.5673. doi:10.1007/978-3-642-32894-7_27. ISBN 978-3-642-32893-0. S2CID 8021636.
- ↑ Rahmani, Rasoul; Yusof, Rubiyah (2014-12-01). "A new simple, fast and efficient algorithm for global optimization over continuous search-space problems: Radial Movement Optimization". Applied Mathematics and Computation. 248: 287–300. doi:10.1016/j.amc.2014.09.102. ISSN 0096-3003.
- ↑ Bansal, Jagdish Chand; Sharma, Harish; Jadon, Shimpi Singh; Clerc, Maurice (2014-03-01). "Spider Monkey Optimization algorithm for numerical optimization". Memetic Computing. 6 (1): 31–47. doi:10.1007/s12293-013-0128-0. ISSN 1865-9292. S2CID 5714781.
- ↑ Moosavian, Naser; Kasaee Roodsari, Babak (2014-08-01). "Soccer league competition algorithm: A novel meta-heuristic algorithm for optimal design of water distribution networks". Swarm and Evolutionary Computation. 17: 14–24. doi:10.1016/j.swevo.2014.02.002. ISSN 2210-6502.
- ↑ Uymaz, Sait Ali; Tezel, Gulay; Yel, Esra (2015-06-01). "Artificial algae algorithm (AAA) for nonlinear global optimization". Applied Soft Computing. 31: 153–171. doi:10.1016/j.asoc.2015.03.003. ISSN 1568-4946.
- ↑ Srivastava, Abhishek; Das, Dushmanta Kumar (2022-05-11). "A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid". Knowledge-Based Systems. 243 108455. doi:10.1016/j.knosys.2022.108455. ISSN 0950-7051. S2CID 247077277.
- ↑ Canayaz, Murat; Karci, Ali (2016-03-01). "Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems". Applied Intelligence. 44 (2): 362–376. doi:10.1007/s10489-015-0706-6. ISSN 1573-7497. S2CID 16194679.
- ↑ Deb, Suash; Fong, Simon; Tian, Zhonghuan (October 2015). "Elephant Search Algorithm for optimization problems". 2015 Tenth International Conference on Digital Information Management (ICDIM). pp. 249–255. doi:10.1109/ICDIM.2015.7381893. ISBN 978-1-4673-9152-8. S2CID 2460217.
- ↑ Mirjalili, Seyedali; Mirjalili, Seyed Mohammad; Lewis, Andrew (2014-03-01). "Grey Wolf Optimizer". Advances in Engineering Software. 69: 46–61. doi:10.1016/j.advengsoft.2013.12.007. hdl:10072/66188. ISSN 0965-9978. S2CID 15532140.
- ↑ Chen, Chin-Chi; Tsai, Yung-Che; Liu, I-I; Lai, Chia-Chun; Yeh, Yi-Ting; Kuo, Shu-Yu; Chou, Yao-Hsin (October 2015). "A Novel Metaheuristic: Jaguar Algorithm with Learning Behavior". 2015 IEEE International Conference on Systems, Man, and Cybernetics. pp. 1595–1600. doi:10.1109/SMC.2015.282. ISBN 978-1-4799-8697-2. S2CID 11932094.
- ↑ Cuevas, Erik; González, Adrián; Zaldívar, Daniel; Cisneros, Marco Pérez (2015). "An optimisation algorithm based on the behaviour of locust swarms". International Journal of Bio-Inspired Computation. 7 (6): 402. doi:10.1504/ijbic.2015.073178. ISSN 1758-0366.
- ↑ Mirjalili, Seyedali (2015-11-01). "Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm". Knowledge-Based Systems. 89: 228–249. doi:10.1016/j.knosys.2015.07.006. ISSN 0950-7051.
- ↑ Salimi, Hamid (2015-02-01). "Stochastic Fractal Search: A powerful metaheuristic algorithm". Knowledge-Based Systems. 75: 1–18. doi:10.1016/j.knosys.2014.07.025. ISSN 0950-7051.
- ↑ Doğan, Berat; Ölmez, Tamer (2015-02-01). "A new metaheuristic for numerical function optimization: Vortex Search algorithm". Information Sciences. 293: 125–145. doi:10.1016/j.ins.2014.08.053. ISSN 0020-0255. S2CID 8464197.
- ↑ Zheng, Yu-Jun (2015-03-01). "Water wave optimization: A new nature-inspired metaheuristic". Computers & Operations Research. 55: 1–11. doi:10.1016/j.cor.2014.10.008. ISSN 0305-0548.
- ↑ Mirjalili, Seyedali (2015-05-01). "The Ant Lion Optimizer". Advances in Engineering Software. 83: 80–98. doi:10.1016/j.advengsoft.2015.01.010. ISSN 0965-9978.
- ↑ Odili, Julius Beneoluchi; Kahar, Mohd Nizam Mohmad; Anwar, Shahid (2015-01-01). "African Buffalo Optimization: A Swarm-Intelligence Technique". Procedia Computer Science. 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IEEE IRIS2015). 76: 443–448. doi:10.1016/j.procs.2015.12.291. ISSN 1877-0509.
- ↑ Shareef, Hussain; Ibrahim, Ahmad Asrul; Mutlag, Ammar Hussein (2015-11-01). "Lightning search algorithm". Applied Soft Computing. 36: 315–333. doi:10.1016/j.asoc.2015.07.028. ISSN 1568-4946.
- ↑ Wu, Guohua (2016-02-01). "Across neighborhood search for numerical optimization". Information Sciences. Special issue on Discovery Science. 329: 597–618. arXiv:1401.3376. doi:10.1016/j.ins.2015.09.051. ISSN 0020-0255. S2CID 25844630.
- ↑ Askarzadeh, Alireza (2016-06-01). "A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm". Computers & Structures. 169: 1–12. doi:10.1016/j.compstruc.2016.03.001. ISSN 0045-7949.
- ↑ Abedinpourshotorban, Hosein; Mariyam Shamsuddin, Siti; Beheshti, Zahra; Jawawi, Dayang N. A. (2016-02-01). "Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm". Swarm and Evolutionary Computation. 26: 8–22. doi:10.1016/j.swevo.2015.07.002. ISSN 2210-6502.
- ↑ Sun, Gaoji; Zhao, Ruiqing; Lan, Yanfei (2016-01-01). "Joint operations algorithm for large-scale global optimization". Applied Soft Computing. 38: 1025–1039. doi:10.1016/j.asoc.2015.10.047. ISSN 1568-4946.
- ↑ Yazdani, Maziar; Jolai, Fariborz (2016-01-01). "Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm". Journal of Computational Design and Engineering. 3 (1): 24–36. doi:10.1016/j.jcde.2015.06.003.
- ↑ Mirjalili, Seyedali (2016-03-15). "SCA: A Sine Cosine Algorithm for solving optimization problems". Knowledge-Based Systems. 96: 120–133. doi:10.1016/j.knosys.2015.12.022. ISSN 0950-7051.
- ↑ Li, Mu Dong; Zhao, Hui; Weng, Xing Wei; Han, Tong (2016-02-01). "A novel nature-inspired algorithm for optimization: Virus colony search". Advances in Engineering Software. 92: 65–88. doi:10.1016/j.advengsoft.2015.11.004. ISSN 0965-9978.
- ↑ Mirjalili, Seyedali; Lewis, Andrew (2016-05-01). "The Whale Optimization Algorithm". Advances in Engineering Software. 95: 51–67. doi:10.1016/j.advengsoft.2016.01.008. ISSN 0965-9978.
- ↑ Fathollahi-Fard, Amir Mohammad; Hajiaghaei-Keshteli, Mostafa; Tavakkoli-Moghaddam, Reza (2020-03-10). "Red deer algorithm (RDA): a new nature-inspired meta-heuristic". Soft Computing. 24 (19): 14637–14665. doi:10.1007/s00500-020-04812-z. ISSN 1433-7479. S2CID 215906392.
- ↑ Vinod, Chandra S S; Anand, Hareendran S (2021). "Phototropic algorithm for global optimisation problems". Applied Intelligence. 51 (8): 5965–5977. doi:10.1007/s10489-020-02105-4. S2CID 234211731.
- ↑ Pierezan, Juliano; Dos Santos Coelho, Leandro (July 2018). "Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems". 2018 IEEE Congress on Evolutionary Computation (CEC). pp. 1–8. doi:10.1109/CEC.2018.8477769. ISBN 978-1-5090-6017-7. S2CID 52932771.
- ↑ Jain, Mohit; Maurya, Shubham; Rani, Asha; Singh, Vijander (2018-03-22). Thampi, Sabu M.; El-Alfy, El-Sayed M.; Mitra, Sushmita; Trajkovic, Ljiljana (eds.). "Owl search algorithm: A novel nature-inspired heuristic paradigm for global optimization". Journal of Intelligent & Fuzzy Systems. 34 (3): 1573–1582. doi:10.3233/JIFS-169452.
- ↑ Jain, Mohit; Singh, Vijander; Rani, Asha (2019-02-01). "A novel nature-inspired algorithm for optimization: Squirrel search algorithm". Swarm and Evolutionary Computation. 44: 148–175. doi:10.1016/j.swevo.2018.02.013. ISSN 2210-6502. S2CID 58952523.
- ↑ Fathollahi-Fard, Amir Mohammad; Hajiaghaei-Keshteli, Mostafa; Tavakkoli-Moghaddam, Reza (2018-06-01). "The Social Engineering Optimizer (SEO)". Engineering Applications of Artificial Intelligence. 72: 267–293. doi:10.1016/j.engappai.2018.04.009. ISSN 0952-1976.
- ↑ Dhiman, Gaurav; Kumar, Vijay (2018-06-15). "Emperor penguin optimizer: a bio-inspired algorithm for engineering problems". Knowledge-Based Systems. 159: 20–50. doi:10.1016/j.knosys.2018.06.001. S2CID 52965498.
- ↑ Kumar, Meeta; Kulkarni, Anand J.; Satapathy, Suresh Chandra (2018-04-01). "Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology". Future Generation Computer Systems. 81: 252–272. Bibcode:2018FGCS...81..252K. doi:10.1016/j.future.2017.10.052. ISSN 0167-739X.
- ↑ Elsisi, M. (2019-03-01). "Future search algorithm for optimization". Evolutionary Intelligence. 12 (1): 21–31. doi:10.1007/s12065-018-0172-2. ISSN 1864-5917. S2CID 56702321.
- ↑ Harifi, Sasan; Khalilian, Madjid; Mohammadzadeh, Javad; Ebrahimnejad, Sadoullah (2019-06-01). "Emperor Penguins Colony: a new metaheuristic algorithm for optimization". Evolutionary Intelligence. 12 (2): 211–226. doi:10.1007/s12065-019-00212-x. ISSN 1864-5917.
- ↑ Kaveh, A.; Dadras, A. (2017-08-01). "A novel meta-heuristic optimization algorithm: Thermal exchange optimization". Advances in Engineering Software. 110: 69–84. doi:10.1016/j.advengsoft.2017.03.014. ISSN 0965-9978.
- ↑ Heidari, Ali Asghar; Mirjalili, Seyedali; Faris, Hossam; Aljarah, Ibrahim; Mafarja, Majdi; Chen, Huiling (2019-08-01). "Harris hawks optimization: Algorithm and applications". Future Generation Computer Systems. 97: 849–872. doi:10.1016/j.future.2019.02.028. hdl:10072/384262. ISSN 0167-739X. S2CID 86457167.
- ↑ Askari, Qamar; Younas, Irfan; Saeed, Mehreen (2020-05-11). "Political Optimizer: A novel socio-inspired meta-heuristic for global optimization". Knowledge-Based Systems. 195 105709. doi:10.1016/j.knosys.2020.105709. ISSN 0950-7051. S2CID 215830598.
- ↑ Askari, Qamar; Saeed, Mehreen; Younas, Irfan (2020-07-18). "Heap-based optimizer inspired by corporate rank hierarchy for global optimization". Expert Systems with Applications. 161 113702. doi:10.1016/j.eswa.2020.113702. ISSN 0957-4174. S2CID 225042569.
- ↑ Zaeimi, Mohammad; Ghoddosian, Ali (2020-08-01). "Color harmony algorithm: an art-inspired metaheuristic for mathematical function optimization". Soft Computing. 24 (16): 12027–12066. doi:10.1007/s00500-019-04646-4. ISSN 1433-7479. S2CID 209543050.
- ↑ Kaveh, Ali; Talatahari, Siamak; Khodadadi, Nima (2020). "Stochastic Paint Optimizer: theory and application in civil engineering". Engineering with Computers. 38 (3): 1921–1952. doi:10.1007/s00366-020-01179-5. ISSN 0177-0667. S2CID 225121551.
- ↑ Zervoudakis, Konstantinos; Tsafarakis, Stelios (2020). "A mayfly optimization algorithm". Computers & Industrial Engineering. 145 106559. doi:10.1016/j.cie.2020.106559. S2CID 219783081.
- ↑ Harifi, Sasan; Mohammadzadeh, Javad; Khalilian, Madjid; Ebrahimnejad, Sadoullah (2020-07-13). "Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization". Evolutionary Intelligence. 14 (4): 1743–1761. doi:10.1007/s12065-020-00451-3. ISSN 1864-5917. S2CID 220512280.
- ↑ Azizi, Mahdi; Talatahari, Siamak; Gandomi, Amir H. (2023-01-01). "Fire Hawk Optimizer: a novel metaheuristic algorithm". Artificial Intelligence Review. 56 (1): 287–363. doi:10.1007/s10462-022-10173-w. ISSN 1573-7462. S2CID 250057522.
- ↑ Zervoudakis, Konstantinos; Tsafarakis, Stelios (2023). "A global optimizer inspired from the survival strategies of flying foxes". Engineering with Computers. 39 (2): 1583–1616. doi:10.1007/s00366-021-01554-w. S2CID 245636526.
- ↑ Abdelhamid, Abdelaziz A.; Towfek, S. K.; Khodadadi, Nima; Alhussan, Amel Ali; Khafaga, Doaa Sami; Eid, Marwa M.; Ibrahim, Abdelhameed (May 2023). "Waterwheel Plant Algorithm: A Novel Metaheuristic Optimization Method". Processes. 11 (5): 1502. doi:10.3390/pr11051502. ISSN 2227-9717.
- ↑ Azizi, Mahdi; Aickelin, Uwe; A. Khorshidi, Hadi; Baghalzadeh Shishehgarkhaneh, Milad (2023-01-05). "Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization". Scientific Reports. 13 (1): 226. Bibcode:2023NatSR..13..226A. doi:10.1038/s41598-022-27344-y. ISSN 2045-2322. PMC 9816156. PMID 36604589.
- ↑ Zhang, Wei; Pan, Ke; Li, Shigang; Wang, Yagang (2023-11-01). "Special Forces Algorithm: A novel meta-heuristic method for global optimization". Mathematics and Computers in Simulation. 213: 394–417. doi:10.1016/j.matcom.2023.06.015. ISSN 0378-4754.
- ↑ Azizi, Mahdi; Baghalzadeh Shishehgarkhaneh, Milad; Basiri, Mahla; Moehler, Robert C. (2023-04-01). "Squid Game Optimizer (SGO): a novel metaheuristic algorithm". Scientific Reports. 13 (1): 5373. Bibcode:2023NatSR..13.5373A. doi:10.1038/s41598-023-32465-z. ISSN 2045-2322. PMC 10066950. PMID 37005455.
- ↑ Deng, Lingyun; Liu, Sanyang (2023-09-01). "Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design". Expert Systems with Applications. 225 120069. doi:10.1016/j.eswa.2023.120069. ISSN 0957-4174.
- ↑ Abdel-Basset, Mohamed; Mohamed, Reda; Jameel, Mohammed; Abouhawwash, Mohamed (2023-10-01). "Spider wasp optimizer: a novel meta-heuristic optimization algorithm". Artificial Intelligence Review. 56 (10): 11675–11738. doi:10.1007/s10462-023-10446-y. ISSN 1573-7462.
- ↑ Niu, JingTai; Ren, Changjiang; Guan, Ziyu; Cao, Zhiyuan (2023-08-01). "Dujiangyan irrigation system optimization (DISO): A novel metaheuristic algorithm for dam safety monitoring". Structures. 54: 399–419. doi:10.1016/j.istruc.2023.04.102. ISSN 2352-0124.
- ↑ Guan, Ziyu; Ren, Changjiang; Niu, Jingtai; Wang, Peixi; Shang, Yizi (2023-12-15). "Great Wall Construction Algorithm: A novel meta-heuristic algorithm for engineer problems". Expert Systems with Applications. 233 120905. doi:10.1016/j.eswa.2023.120905. ISSN 0957-4174.
- ↑ Abdollahzadeh, Benyamin; Khodadadi, Nima; Barshandeh, Saeid; Trojovský, Pavel; Gharehchopogh, Farhad Soleimanian; El-kenawy, El-Sayed M.; Abualigah, Laith; Mirjalili, Seyedali (2024-07-01). "Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning". Cluster Computing. 27 (4): 5235–5283. doi:10.1007/s10586-023-04221-5. ISSN 1573-7543.
- ↑ Han, Muxuan; Du, Zunfeng; Yuen, Kum Fai; Zhu, Haitao; Li, Yancang; Yuan, Qiuyu (2024-04-01). "Walrus optimizer: A novel nature-inspired metaheuristic algorithm". Expert Systems with Applications. 239 122413. doi:10.1016/j.eswa.2023.122413. ISSN 0957-4174.
- ↑ Mozhdehi, Ali Toufanzadeh; Khodadadi, Nima; Aboutalebi, Mohaddeseh; El-kenawy, El-Sayed M.; Hussien, Abdelazim G.; Zhao, Weiguo; Nadimi-Shahraki, Mohammad H.; Mirjalili, Seyedali (2025-02-25). "Divine Religions Algorithm: a novel social-inspired metaheuristic algorithm for engineering and continuous optimization problems". Cluster Computing. 28 (4): 253. doi:10.1007/s10586-024-04954-x. ISSN 1573-7543.
- ↑ Wang, Liying; Du, Haiping; Zhang, Zhenxing; Hu, Gang; Mirjalili, Seyedali; Khodadadi, Nima; Hussien, Abdelazim G.; Liao, Yingying; Zhao, Weiguo (2025-06-23). "Tianji's horse racing optimization (THRO): a new metaheuristic inspired by ancient wisdom and its engineering optimization applications". Artificial Intelligence Review. 58 (9): 282. doi:10.1007/s10462-025-11269-9. ISSN 1573-7462.
- ↑ Hussein, Nazar K.; Qaraad, Mohammed; El Najjar, Abdelwahab M.; Farag, M. A.; Elhosseini, Mostafa A.; Mirjalili, Seyedali; Guinovart, David (2025-10-25). "Schrödinger optimizer: A quantum duality-driven metaheuristic for stochastic optimization and engineering challenges". Knowledge-Based Systems. 328 114273. doi:10.1016/j.knosys.2025.114273. ISSN 0950-7051.
- ↑ Rodan, Ali; Al-Tamimi, Abdel-Karimi; Al-Alnemer, Loai; Mirjalili, Seyedali (2025-06-16). "Stellar oscillation optimizer: a nature-inspired metaheuristic optimization algorithm". Cluster Computing. 28 (6): 362. doi:10.1007/s10586-024-04976-5. ISSN 1573-7543.
- ↑ Mohammed, Bnyad O.; Aghdasi, Hadi S.; Salehpour, Pedram (2025-07-31). "Dhole optimization algorithm: a new metaheuristic algorithm for solving optimization problems". Cluster Computing. 28 (7): 430. doi:10.1007/s10586-024-05005-1. ISSN 1573-7543.
- ↑ Ouertani, Mohamed Wajdi; Manita, Ghaith; Korbaa, Ouajdi (2025-08-18). "Hannibal Barca optimizer: the power of the pincer movement for global optimization and multilevel image thresholding". Cluster Computing. 28 (7): 482. doi:10.1007/s10586-025-05134-1. ISSN 1573-7543.
- ↑ Song, Meijia; Lin, Jun; Liu, Xiangrong; Jia, Heming; Luo, Shuyuan (2025-08-19). "Octopus optimization algorithm: a novel single- and multi-objective optimization algorithm for optimization problems". Cluster Computing. 28 (8): 484. doi:10.1007/s10586-025-05141-2. ISSN 1573-7543.
- ↑ Lai, Zhipeng; Ding, Jiabin; Yin, Hanfeng; Wu, Lijia; Liu, Jie; He, Wei (2025-08-19). "Bitterling Colony Optimization: a bio-inspired algorithm for global search". Cluster Computing. 28 (8): 542. doi:10.1007/s10586-025-05170-x. ISSN 1573-7543.
- ↑ Harifi, Sasan; Eghbali, Reza; Mirhosseini, Seyed Mohsen (2025-08-30). "Star Death: a novel lightweight metaheuristic algorithm and its application for dynamic load-balancing in cluster computing". Cluster Computing. 28 (9): 596. doi:10.1007/s10586-025-05265-5. ISSN 1573-7543.