EmiR

A C++ implementation of the following evolutionary algorithms: Bat Algorithm (Yang, 2010 doi:10.1007/978-3-642-12538-6_6), Cuckoo Search (Yang, 2009 doi:10.1109/nabic.2009.5393690), Genetic Algorithms (Holland, 1992, ISBN:978-0262581110), Gravitational Search Algorithm (Rashedi et al., 2009 doi:10.1016/j.ins.2009.03.004), Grey Wolf Optimization (Mirjalili et al., 2014 doi:10.1016/j.advengsoft.2013.12.007), Harmony Search (Geem et al., 2001 doi:10.1177/003754970107600201), Improved Harmony Search (Mahdavi et al., 2007 doi:10.1016/j.amc.2006.11.033), Moth-flame Optimization (Mirjalili, 2015 doi:10.1016/j.knosys.2015.07.006), Particle Swarm Optimization (Kennedy et al., 2001 ISBN:1558605959), Simulated Annealing (Kirkpatrick et al., 1983 doi:10.1126/science.220.4598.671), Whale Optimization Algorithm (Mirjalili and Lewis, 2016 doi:10.1016/j.advengsoft.2016.01.008). 'EmiR' can be used not only for unconstrained optimization problems, but also in presence of inequality constrains, and variables restricted to be integers.