metaheuristicOpt

An implementation of metaheuristic algorithms for continuous optimization. Currently, the package contains the implementations of 21 algorithms, as follows: particle swarm optimization (Kennedy and Eberhart, 1995), ant lion optimizer (Mirjalili, 2015 [doi:10.1016/j.advengsoft.2015.01.010]), grey wolf optimizer (Mirjalili et al., 2014 [doi:10.1016/j.advengsoft.2013.12.007]), dragonfly algorithm (Mirjalili, 2015 [doi:10.1007/s00521-015-1920-1]), firefly algorithm (Yang, 2009 [doi:10.1007/978-3-642-04944-6_14]), genetic algorithm (Holland, 1992, ISBN:978-0262581110), grasshopper optimisation algorithm (Saremi et al., 2017 [doi:10.1016/j.advengsoft.2017.01.004]), harmony search algorithm (Mahdavi et al., 2007 [doi:10.1016/j.amc.2006.11.033]), moth flame optimizer (Mirjalili, 2015 [doi:10.1016/j.knosys.2015.07.006]), sine cosine algorithm (Mirjalili, 2016 [doi:10.1016/j.knosys.2015.12.022]), whale optimization algorithm (Mirjalili and Lewis, 2016 [doi:10.1016/j.advengsoft.2016.01.008]), clonal selection algorithm (Castro, 2002 [doi:10.1109/TEVC.2002.1011539]), differential evolution (Das & Suganthan, 2011), shuffled frog leaping (Eusuff, Landsey & Pasha, 2006), cat swarm optimization (Chu et al., 2006), artificial bee colony algorithm (Karaboga & Akay, 2009), krill-herd algorithm (Gandomi & Alavi, 2012), cuckoo search (Yang & Deb, 2009), bat algorithm (Yang, 2012), gravitational based search (Rashedi et al., 2009) and black hole optimization (Hatamlou, 2013).

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.