List of optimizers

Hossam Faris edited this page May 30, 2016 · 17 revisions
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A list of all nature-inspired optimizers implemented in EvoloPy:

# Abb. Optimizer
Main article
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GWO
Grey Wolf Optimizer S. Mirjalili, S. M. Mirjalili, A. Lewis, Grey Wolf Optimizer, accepted in Advances in Engineering Software , vol. 69, pp. 46-61, 2014, DOI:http://dx.doi.org/10.1016/j.advengsoft.2013.12.007
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MVO Multi-Verse Optimizer S. M. Mirjalili, A. Hatamlou, " Multi-Verse Optimizer: a nature-inspired algorithm for global optimization " ,Neural Computing and Applications, in press, 2015, DOI: http://dx.doi.org/10.1007/s00521-015-1870-7
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MFO Moth-flame optimization S. Mirjalili, Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm, Knowledge-based Systems, Volume 89, Pages 229-249, DOI: http://dx.doi.org/10.1016/j.knosys.2015.07.006
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WOA Whale Optimization Algorithm S. Mirjalili, A. Lewis, The Whale Optimization Algorithm, Advances in Engineering Software , in press, 2016, DOI: http://dx.doi.org/10.1016/j.advengsoft.2016.01.008
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BAT Bat Algorithm Yang, Xin-She. "A new metaheuristic bat-inspired algorithm." Nature inspired cooperative strategies for optimization (NICSO 2010). Springer Berlin Heidelberg, 2010. 65-74. DOI: http://dx.doi.org/10.1007/978-3-642-12538-6_6
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CS Cuckoo Search Yang, Xin-She, and Suash Deb. "Cuckoo search via Lévy flights." Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on. IEEE, 2009. DOI: http://dx.doi.org/10.1109/NABIC.2009.5393690
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FFA Firfly Algorithm Yang, Xin-She. "Firefly algorithm, stochastic test functions and design optimisation." International Journal of Bio-Inspired Computation 2.2 (2010): 78-84. http://dx.doi.org/10.1504/IJBIC.2010.032124