Music-Inspired Harmony Search Algorithm: Theory and Applications

364 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multiobjective firefly algorithm for continuous optimization (2012, background): “Metaheuristic algorithms are very powerful in dealing with this kind of optimization, and there are many review articles and textbooks [5, 6, 7, 8, 9, 10, 11].”
Multi-objective Weighted Sum Approach Model Reduction by Routh-Pade Approximation using Harmony Search (2013, methodology): “In general, the HS algorithm works as follows [35,36]: Step 1.”
BBA: A Binary Bat Algorithm for Feature Selection (2012, methodology): “Further, Rashedi et al. [5] proposed a binary version of the Gravitational Search Algorithm (GSA) [6] called BGSA for feature selection, and Ramos et al. [7] presented their version of the Harmony Search (HS) [8] for the same purpose in the context of theft detection in power distribution systems.”
Flower pollination algorithm: A novel approach for multiobjective optimization (2014, methodology): “For example, harmony search, developed by Zong Woo Geem in 2001 (Geem et al. 2001; Geem 2006, 2009), has been applied in many areas such as highly challenging water distribution networks (Geem 2006) and discrete structural optimization (Lee et al. 2005).”