Open Access
2013 Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search
Jaco Fourie, Richard Green, Zong Woo Geem
J. Appl. Math. 2013(SI09): 1-13 (2013). DOI: 10.1155/2013/380985


Harmony search (HS) was introduced in 2001 as a heuristic population-based optimisation algorithm. Since then HS has become a popular alternative to other heuristic algorithms like simulated annealing and particle swarm optimisation. However, some flaws, like the need for parameter tuning, were identified and have been a topic of study for much research over the last 10 years. Many variants of HS were developed to address some of these flaws, and most of them have made substantial improvements. In this paper we compare the performance of three recent HS variants: exploratory harmony search, self-adaptive harmony search, and dynamic local-best harmony search. We compare the accuracy of these algorithms, using a set of well-known optimisation benchmark functions that include both unimodal and multimodal problems. Observations from this comparison led us to design a novel hybrid that combines the best attributes of these modern variants into a single optimiser called generalised adaptive harmony search.


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Jaco Fourie. Richard Green. Zong Woo Geem. "Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search." J. Appl. Math. 2013 (SI09) 1 - 13, 2013.


Published: 2013
First available in Project Euclid: 14 March 2014

MathSciNet: MR3045425
Digital Object Identifier: 10.1155/2013/380985

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI09 • 2013
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