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Table of metaheuristics

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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.

Categories

[edit]
  • Trajectory-based
  • Nature-inspired
    • Evolutionary-based
    • Swarm-based
    • Bio-inspired
    • Physics/Chemistry-based
    • Human-based
    • Plant-based
  • Art-inspired
  • Ancient-inspired

The table

[edit]
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 Evaluation 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]
Giza Pyramids Construction GPC Ancient-inspired - 2020 [88]
Mayfly Optimization Algorithm MOA Nature-inspired Bio-inspired 2020 [89]
Fire Hawk Optimizer FHO Nature-inspired Bio-inspired 2022 [90]
Flying Fox Optimization Algorithm FFO Nature-inspired Bio-inspired 2023 [91]

References

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  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. ^ 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.
  89. ^ Zervoudakis, Konstantinos; Tsafarakis, Stelios (2020). "A mayfly optimization algorithm". Computers & Industrial Engineering. 145: 106559. doi:10.1016/j.cie.2020.106559. S2CID 219783081.
  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.
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