LAHS swMATH ID: 16836 Software Authors: Enayatifar, Rasul; Yousefi, Moslem; Abdullah, Abdul Hanan; Darus, Amer Nordin Description: LAHS: a novel harmony search algorithm based on learning automata. This study presents a learning automata-based harmony search (LAHS) for unconstrained optimization of continuous problems. The harmony search (HS) algorithm performance strongly depends on the fine tuning of its parameters, including the harmony consideration rate (HMCR), pitch adjustment rate (PAR) and bandwidth (bw). Inspired by the spur-in-time responses in the musical improvisation process, learning capabilities are employed in the HS to select these parameters based on spontaneous reactions. An extensive numerical investigation is conducted on several well-known test functions, and the results are compared with the HS algorithm and its prominent variants, including the improved harmony search (IHS), global-best harmony search (GHS) and self-adaptive global-best harmony search (SGHS). The numerical results indicate that the LAHS is more efficient in finding optimum solutions and outperforms the existing HS algorithm variants. Homepage: http://www.sciencedirect.com/science/article/pii/S1007570413002001 Keywords: learning automata; harmony search; unconstrained optimization Related Software: JADE; PMCMR; fGarch; RMetrics Cited in: 3 Publications all top 5 Cited by 14 Authors 2 Enayatifar, Rasul 1 Abdullah, Abdul Hanan 1 Darus, Amer Nordin 1 Eslami, Tayyebeh 1 Gao, Liqun 1 Guimarães, Frederico Gadelha 1 Javedani Sadaei, Hossein 1 Kong, Xiangyong 1 Li, Steven 1 Mahmud, Maqsood 1 Mirzaei Talarposhti, Fatemeh 1 Ouyang, Haibin 1 Yousefi, Moslem 1 Zou, Dexuan Cited in 3 Serials 1 Applied Mathematics and Computation 1 International Journal of Approximate Reasoning 1 Communications in Nonlinear Science and Numerical Simulation Cited in 3 Fields 2 Operations research, mathematical programming (90-XX) 1 Computer science (68-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Citations by Year