An improved global-best harmony search algorithm for faster optimization
A new initialization is employed based on opposition-based learning. A hybrid scheme for improvising a new harmony. A dynamically updating scheme for parameters adjustment. Two perturbed schemes for the best harmony.
global-best harmony search harmony search opposition-based learning periodic and sign function exploration and exploitation numerical optimization