A New Heuristic Optimization Algorithm: Harmony Search
By Zong Woo Geem, Joon-Hoon Kim, G. Loganathan. 2001
6,243 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.
- Seyedali Mirjalili
- Xin-She Yang
- Tansel Dökeroğlu
- Laith Mohammad Abualigah
- Seyed Mohammad Mirjalili
- Gaurav Dhiman
- Amir H. Gandomi
- Iztok Fister
Citations in the corpus
- Coronavirus herd immunity optimizer (CHIO) (2020, methodology): “The base method of such class is harmony search algorithm (HSA) in which a group of JAZZ musicians plays the notes of their instruments, practice after practice until a pleasing harmony (optimal solution) is obtained [14].”
- A survey on nature inspired metaheuristic algorithms for partitional clustering (2014, background): “Harmony Search (HS) [173,174] Multi-objective HS [315]”
- Chemical-Reaction-Inspired Metaheuristic for Optimization (2010, methodology): “Other proposed metaheuristics include particle swarm optimization (inspired by the social behavior of bird flocking) [10], bees algorithm (inspired by the behavior of honey bees in collecting nectar) [11], harmony algorithm (inspired by the improvisation process of musicians) [ 12 ], etc.”
- Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm (2016, unknown): “All rights reserved.”
- A survey on new generation metaheuristic algorithms (2019, methodology): “…2010a), Gravitational Search Algorithm (GSA) (Rashedi et al., 2009), Grey Wolf Algorithm (GWA) (Mirjalili et al., 2014a), Harmony Search (HS) (Geem et al., 2001), Krill Herd (KH) (Gandomi and Alavi, 2012), Social Spider Optimization (SSO) (Cuevas et al., 2013), Symbiotic Organisms Search…”
- Harmony Search as a Metaheuristic Algorithm (2010, methodology): “These advantages make it very versatile to combine HS with other metaheuristic algorithms such as PSO to produce hybrid metaheuristics [20] and to apply HS in various applications [1-3,20-22].”
- Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems (2008, methodology): “Harmony search algorithm The harmony search algorithm which is a natureinspired algorithm, mimicking the improvisation process of music players has been developed by Geem et al. [12].”