Parameter-setting-free harmony search algorithm

Various phenomenon-mimicking algorithms, such as genetic algorithm, simulated annealing, tabu search, ant colony optimization, and particle swarm optimization, have their own algorithm parameters. These parameters need to be skillfully assigned in order to obtain good results. It is burdensome, espe...

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Veröffentlicht in:Applied mathematics and computation Jg. 217; H. 8; S. 3881 - 3889
Hauptverfasser: Geem, Zong Woo, Sim, Kwee-Bo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier Inc 15.12.2010
Elsevier
Schlagworte:
Algorithms
Calculus of variations and optimal control
Colonies
Exact sciences and technology
Harmony search
Mathematical analysis
Mathematical models
Mathematics
Numerical analysis
Numerical analysis. Scientific computation
Numerical methods in mathematical programming, optimization and calculus of variations
Numerical methods in optimization and calculus of variations
Optimization
Parameter-setting-free technique
Phenomenon-mimicking algorithms
Sciences and techniques of general use
Search algorithms
Simulated annealing
Tabu search
Parameter-setting-free technique
Phenomenon-mimicking algorithms
Harmony search
Numerical analysis
Genetic algorithm
Applied mathematics
Optimization method
Simulated annealing
Variational calculus
Search algorithm
Mathematical programming
ISSN:0096-3003, 1873-5649
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Various phenomenon-mimicking algorithms, such as genetic algorithm, simulated annealing, tabu search, ant colony optimization, and particle swarm optimization, have their own algorithm parameters. These parameters need to be skillfully assigned in order to obtain good results. It is burdensome, especially to novice users, to assign these parameters. The same is true for the harmony search algorithm which was inspired by music performance. Thus, this study proposes a novel technique to eliminate tedious and experience-requiring parameter assigning efforts. The new parameter-setting-free (PSF) technique which this study suggests contains one additional matrix which contains an operation type (random selection, memory consideration, or pitch adjustment) for every variable in harmony memory. Three examples illustrate that the PSF technique can find good solutions robustly.
Bibliographie:ObjectType-Article-2
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ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2010.09.049