Suggestion List by Marc Sevaux

[caranha]

Marc Sevaux suggested the following papers to be added to the Bestiary.

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Sperm Whale Algorithm A. Ebrahimi, E. Khamehchi, “Sperm Whale Algorithm: an Effective Metaheuristic Algorithm for Production Optimization Problems.” Journal of Natural Gas Science & Engineering (2016), http://dx.doi.org/10.1016/j.jngse.2016.01.001

Virus colony Search M. D. Li, H. Zhao, X. W. Weng, T. Han, “A novel nature-inspired algorithm for optimization: Virus colony search.” Advances in Engineering Software, 92, (2016), 65–88.

Sine Cosine Algorithm S. Mirjalili, “SCA: A Sine Cosine Algorithm for Solving Optimization Problems.” Knowledge-Based Systems, (2016), http://dx.doi.org/10.1016/j.knosys.2015.12.022

Multiverse optimizer S. Mirjalili, S. M. Mirjalili, A. Hatamlou, “Multi-Verse Optimizer: a nature-inspired algorithm for global optimization.” Neural Computing & Applications, (2015), 1-19. http://dx.doi.org/10.1007/s00521-015-1870-7

Exchange Market Algorithm N. Ghorbani, E. Babaei, “Exchange market algorithm.” Applied Soft Computing, 19, (2014), 177–187. http://dx.doi.org/10.1016/j.asoc.2014.02.006

Keshtel feeding algorithm M. Hajiaghaei-Keshteli, M. Aminnayeri, “Solving the integrated scheduling of production rail transportation problem by Keshtel algorithm.” Applied Soft Computing, 25, (2014), 184–203. http://dx.doi.org/10.1016/j.asoc.2014.09.034

Differential search algorithm P. Civicioglu, “Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithm.” Computers & Geosciences, 46, (2012), 229–247 http://dx.doi.org/10.1016/j.cageo.2011.12.011

Teaching-learning-based optimization R. V. Rao, V. J. Savsani, D. P. Vakharia, “Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems.” Computer-Aided Design, 43, (3), (2011), 303–315.http://dx.doi.org/10.1016/j.cad.2010.12.015

League Championship Algorithm http://dx.doi.org/10.1016/j.asoc.2013.12.005 *Chaotic League Championship Algorithms* doi:10.1007/s13369-016-2200-9

*Imp*erialist competitive algorithm E. Atashpaz-Gargari, C. Lucas, “Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition.” in: IEEE Congress on Evolutionary Computation, Singapore (2007), 4661–4667.http://dx.doi.org/10.1016/j.gsf.2014.11.005 Paper published recently: http://dx.doi.org/10.1016/j.gsf.2014.11.005

[caranha]

• Sperm Whale Algorithm -- Added
• Virus colony Search -- Duplicate
• Sine Cosine Algorithm -- Not Metaphor - variation operator uses random number on sine/cosine fun
• Multiverse optimizer -- Added. I love how they call this "nature inspired"
• Exchange Market Algorithm -- Added.
• Keshtel feeding algorithm -- Added. But google insists that it does not know about this bird, and keeps redirecting me to "Kestrels" instead.
• Differential search algorithm -- Decided to put this one under "Animal Behavior". Large discourse about how this algorithm mimics animal migration halfway through the paper. Name is to draw connection to DE.
• Teaching-learning-based optimization -- Added
• League Championship Algorithm -- Duplicate
• Imperialist competitive algorithm -- Duplicate

Thank you!