A random distribution harmony search algorithm
Jiadong Gu, Defeng Wu · 2018
Harmony Search (HS) algorithm is widely applied in high-dimensional complex optimization problems. However, there are several drawbacks with HS algorithm for which HS algorithm is unable to find global optimum solution efficiently and effectively sometimes. In this paper, a random distribution Harmony Search (RDHS) algorithm which subjoins a random distribution operation to HS was proposed. The random distribution operation can increase convergence speed effectively as well as optimum ability. The effectiveness and advantages are demonstrated through several simulation experiments of conventional test functions compared with HS and improved Harmony Search (IHS).