Table of metaheuristics

Last updated

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.

Contents

Categories

The table

NameAbbreviationMain categorySubcategoryYear publishedRef.
Simulated Annealing SATrajectory-based-1983 [1]
Tabu Search TSTrajectory-based-1989 [2]
Genetic Algorithm GAEvolutionary-based-1992 [3]
Evolutionary Algorithm EAEvolutionary-based-1994
Cultural Algorithm CA1994 [4]
Particle Swarm Optimization PSONature-inspiredSwarm-based1995 [5]
Differential EvaluationDEEvolutionary-based-1997 [6]
Local Search LS1997
Variable neighborhood search VNSTrajectory-based-1997 [7]
Guided Local SearchGLSTrajectory-based-1998 [8]
Clonal Selection AlgorithmCSAEvolutionary-based-2000 [9]
Harmony Search HSEvolutionary-based-2001 [10]
Memetic Algorithm MAEvolutionary-based-2002
Iterative Local SearchILSTrajectory-based-2003 [11]
Artificial Bee ColonyABCNature-inspiredBio-inspired2005 [12]
Ant Colony Optimization ACONature-inspiredBio-inspired2006 [13]
Glowworm Swarm Optimization GSONature-inspiredSwarm-based2006 [14]
Shuffled Frog Leaping AlgorithmSFLANature-inspiredBio-inspired2006 [15]
Invasive Weed OptimizationIWONature-inspiredPlant-based2006 [16]
Seeker Optimization AlgorithmSOANature-inspiredHuman-based2006 [17]
Imperialistic Competitive AlgorithmICANature-inspiredHuman-based2007 [18]
Central Force OptimizationCFO2007 [19]
Biogeography Based OptimizationBBONature-inspiredHuman-based2008 [20]
Firefly AlgorithmFANature-inspiredBio-inspired2008 [21]
Intelligent Water DropsIWDNature-inspiredSwarm-based2008 [22]
Monkey AlgorithmMANature-inspiredBio-inspired2008 [23]
Cuckoo SearchCSNature-inspiredBio-inspired2009 [24]
Group Search OptimizerGSONature-inspiredSwarm-based2009 [25]
Key Cutting AlgorithmKCA2009 [26]
Hunting SearchHSNature-inspiredSwarm-based2009 [27]
Chemical Reaction OptimizationCRONature-inspiredPhysics/Chemistry-based2009 [28]
Bat AlgorithmBANature-inspiredBio-inspired2010 [29]
Charged System SearchCSSNature-inspiredPhysics/Chemistry-based2010 [30]
Eagle StrategyESNature-inspired2010
Fireworks AlgorithmFWA2010 [31]
Cuckoo Optimization AlgorithmCOANature-inspiredBio-inspired2011 [32]
Stochastic Diffusion SearchSDS2011
Teaching-Learning-Based OptimizationTLBONature-inspiredHuman-based2011 [33]
Bacterial Colony OptimizationBCO2012 [34]
Fruit Fly OptimizationFFO2012
Krill Herd AlgorithmKHANature-inspiredBio-inspired2012 [35]
Migrating Birds OptimizationMBONature-inspiredSwarm-based2012 [36]
Water Cycle AlgorithmWCA2012
Backtracking Search AlgorithmBSAEvolutionary-based-2013 [37]
Black Hole AlgorithmBHNature-inspiredPhysics/Chemistry-based2013 [38]
Dolphin EcholocationDENature-inspiredBio-inspired2013 [39]
Animal Migration OptimizationAMONature-inspiredSwarm-based2013 [40]
Keshtel AlgorithmKANature-inspired2014 [41]
SDA Optimization AlgorithmSDANature-inspiredBio-inspired2014 [42]
Artificial Root Foraging AlgorithmARFANature-inspiredPlant-based2014 [43]
Bumble Bees Mating OptimizationBBMO2014
Chicken Swarm OptimizationCSONature-inspiredBio-inspired2014 [44]
Colliding Bodies OptimizationCBO2014 [45]
Coral Reefs Optimization AlgorithmCROA2014
Flower Pollination AlgorithmFPANature-inspiredPlant-based2014 [46]
Radial Movement OptimizationRMONature-inspiredSwarm-based2014 [47]
Spider Monkey OptimizationSMONature-inspiredBio-inspired2014 [48]
Soccer League CompetitionSLCNature-inspiredHuman-based2014 [49]
Artificial Algae AlgorithmAAA2015 [50]
Adaptive Dimensional SearchADS2015
Alienated Ant AlgorithmAAA2015
Artificial Fish Swarm AlgorithmAFSANature-inspired2015
Bottlenose Dolphin OptimizationBDONature-inspired2015 [51]
Cricket AlgorithmCA2015 [52]
Elephant Search AlgorithmESANature-inspiredBio-inspired2015 [53]
Grey Wolf OptimizerGWONature-inspiredBio-inspired2015 [54]
Jaguar AlgorithmJANature-inspiredBio-inspired2015 [55]
Locust Swarm AlgorithmLSANature-inspiredSwarm-based2015 [56]
Moth-Flame OptimizationMFONature-inspiredBio-inspired2015 [57]
Stochastic Fractal SearchSFFEvolutionary-based-2015 [58]
Vortex Search AlgorithmVSANature-inspiredPhysics/Chemistry-based2015 [59]
Water Wave OptimizationWWANature-inspiredPhysics/Chemistry-based2015 [60]
Ant Lion OptimizerALONature-inspiredBio-inspired2015 [61]
African Buffalo OptimizationABONature-inspiredSwarm-based2015 [62]
Lightning Search AlgorithmLSANature-inspiredPhysics/Chemistry-based2015 [63]
Across Neighborhood SearchANSEvolutionary-based-2016 [64]
Crow Search AlgorithmCSANature-inspiredBio-inspired2016 [65]
Electromagnetic Field OptimizationEFONature-inspiredPhysics/Chemistry-based2016 [66]
Joint Operations AlgorithmJOANature-inspiredSwarm-based2016 [67]
Lion Optimization AlgorithmLOANature-inspiredBio-inspired2016 [68]
Sine Cosine AlgorithmSCANature-inspiredPhysics/Chemistry-based2016 [69]
Virus Colony SearchVCSNature-inspiredBio-inspired2016 [70]
Whale Optimization AlgorithmWOANature-inspiredBio-inspired2016 [71]
Red Deer AlgorithmRDANature-inspiredBio-inspired2016 [72]
Phototropic Optimization AlgorithmPOANature-inspiredPlant-based2018 [73]
Coyote Optimization AlgorithmCOANature-inspiredSwarm-based2018 [74]
Owl Search AlgorithmOSANature-inspiredBio-inspired2018 [75]
Squirrel Search AlgorithmSSANature-inspiredBio-inspired2018 [76]
Social Engineering OptimizerSEONature-inspiredHuman-based2018 [77]
Emperor Penguin OptimizerEPONature-inspiredBio-inspired2018 [78]
Socio Evolution and Learning OptimizationSELONature-inspiredHuman-based2018 [79]
Future Search AlgorithmFSANature-inspiredHuman-based2019 [80]
Emperor Penguins ColonyEPCNature-inspiredSwarm-based2019 [81]
Thermal Exchange OptimizationTEONature-inspiredPhysics/Chemistry-based2019 [82]
Harris Hawks OptimizationHHONature-inspiredBio-inspired2019 [83]
Political OptimizerPONature-inspiredHuman-based2020 [84]
Heap-Based OptimizerHBONature-inspiredHuman-based2020 [85]
Color Harmony AlgorithmCHAArt-inspiredColor-based2020 [86]
Stochastic Paint OptimizerSPOArt-inspiredColor-based2020 [87]
Mayfly Optimization AlgorithmMOANature-inspiredBio-inspired2020 [88]
Giza Pyramids ConstructionGPCAncient-inspired-2020 [89]
Fire Hawk OptimizerFHONature-inspiredBio-inspired2022 [90]
Flying Fox Optimization AlgorithmFFONature-inspiredBio-inspired2023 [91]
Waterwheel Plant AlgorithmWWPANature-inspiredPlant-based2023 [92]
Energy Valley OptimizerEVONature-inspiredPhysics/Chemistry-based2023 [93]
Special Forces AlgorithmSFANature-inspiredSwarm-based2023 [94]
Squid Game OptimizerSGONature-inspiredHuman-based2023 [95]
Snow Ablation OptimizerSAONature-inspiredPhysics/Chemistry-based2023 [96]
Spider Wasp OptimizationSWONature-inspiredBio-inspired2023 [97]
Dujiangyan Irrigation SystemDISOAncient-inspired-2023 [98]
Great Wall Construction AlgorithmGWCAAncient-inspired-2023 [99]
Puma OptimizerPONature-inspiredBio-inspired2024 [100]
Walrus OptimizerWONature-inspiredBio-inspired2024 [101]

References

  1. ↑ 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.
  2. ↑ 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.
  3. ↑ 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.
  4. ↑ 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.
  5. ↑ 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.
  6. ↑ 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.
  7. ↑ 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.
  8. ↑ 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.
  9. ↑ 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. doi:10.1109/TEVC.2002.1011539. ISSN   1941-0026.
  10. ↑ 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.
  11. ↑ 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. doi:10.1007/0-306-48056-5_11. ISBN   978-0-306-48056-0. S2CID   198489826.
  12. ↑ 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.
  13. ↑ 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.
  14. ↑ 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.
  15. ↑ 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.
  16. ↑ 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.
  17. ↑ 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.
  18. ↑ 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.
  19. ↑ 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.
  20. ↑ Simon, Dan (December 2008). "Biogeography-Based Optimization". IEEE Transactions on Evolutionary Computation. 12 (6): 702–713. doi:10.1109/TEVC.2008.919004. ISSN   1941-0026. S2CID   8319014.
  21. ↑ 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.
  22. ↑ 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): 71. doi:10.1504/IJBIC.2009.022775. ISSN   1758-0366.
  23. ↑ Zhao R Q, Tang W S. Monkey algorithm for global numerical optimization. Journal of Uncertain Systems. 2008,2 (3):164-175.
  24. ↑ 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.
  25. ↑ 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. doi:10.1109/TEVC.2009.2011992. ISSN   1941-0026. S2CID   38375639.
  26. ↑ 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.
  27. ↑ 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. doi:10.1016/j.camwa.2010.07.049. ISSN   0898-1221.
  28. ↑ 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. doi:10.1109/TEVC.2009.2033580. hdl: 10722/130634 . ISSN   1941-0026. S2CID   2281747.
  29. ↑ 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.
  30. ↑ 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.
  31. ↑ 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.
  32. ↑ 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.
  33. ↑ 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.
  34. ↑ Niu, Ben; Wang, Hong (2012-11-27). "Bacterial Colony Optimization". Discrete Dynamics in Nature and Society. 2012: 1–28. doi: 10.1155/2012/698057 .
  35. ↑ 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.
  36. ↑ 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. ISSN   0020-0255.
  37. ↑ 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.
  38. ↑ 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.
  39. ↑ 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.
  40. ↑ 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.
  41. ↑ 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.
  42. ↑ 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 .
  43. ↑ 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: 1–16. doi: 10.1155/2014/471209 . ISSN   1024-123X.
  44. ↑ 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.
  45. ↑ 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.
  46. ↑ 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.
  47. ↑ 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.
  48. ↑ 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.
  49. ↑ 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.
  50. ↑ 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.
  51. ↑ 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.
  52. ↑ 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.
  53. ↑ 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.
  54. ↑ 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.
  55. ↑ 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.
  56. ↑ 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.
  57. ↑ 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.
  58. ↑ 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.
  59. ↑ 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.
  60. ↑ 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.
  61. ↑ 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.
  62. ↑ 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.
  63. ↑ 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.
  64. ↑ 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.
  65. ↑ 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.
  66. ↑ 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.
  67. ↑ 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.
  68. ↑ 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 .
  69. ↑ 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.
  70. ↑ 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.
  71. ↑ 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.
  72. ↑ 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.
  73. ↑ 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.
  74. ↑ 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.
  75. ↑ 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.
  76. ↑ 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.
  77. ↑ 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.
  78. ↑ 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.
  79. ↑ 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. doi:10.1016/j.future.2017.10.052. ISSN   0167-739X.
  80. ↑ 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.
  81. ↑ 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.
  82. ↑ 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.
  83. ↑ 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.
  84. ↑ 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.
  85. ↑ 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.
  86. ↑ 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.
  87. ↑ 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.
  88. ↑ Zervoudakis, Konstantinos; Tsafarakis, Stelios (2020). "A mayfly optimization algorithm". Computers & Industrial Engineering. 145: 106559. doi:10.1016/j.cie.2020.106559. S2CID   219783081.
  89. ↑ 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.
  90. ↑ 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.
  91. ↑ 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.
  92. ↑ 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.
  93. ↑ 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.
  94. ↑ 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.
  95. ↑ 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.
  96. ↑ 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.
  97. ↑ 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.
  98. ↑ 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.
  99. ↑ 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.
  100. ↑ 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.
  101. ↑ 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.
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