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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Vydáno v:Applied mathematics and computation Ročník 217; číslo 8; s. 3881 - 3889
Hlavní autoři: Geem, Zong Woo, Sim, Kwee-Bo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier Inc 15.12.2010
Elsevier
Témata:
ISSN:0096-3003, 1873-5649
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Abstract 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.
AbstractList 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.
Author Geem, Zong Woo
Sim, Kwee-Bo
Author_xml – sequence: 1
  givenname: Zong Woo
  surname: Geem
  fullname: Geem, Zong Woo
  email: geem@jhu.edu
  organization: Environmental Planning and Management Program, Johns Hopkins University, 11833 Skylark Road, Clarksburg, Maryland 20871, USA
– sequence: 2
  givenname: Kwee-Bo
  surname: Sim
  fullname: Sim, Kwee-Bo
  email: kbsim@cau.ac.kr
  organization: School of Electrical and Electronics Engineering, Chung-Ang University, 221 Heukseok-Dong, Seoul 156-756, South Korea
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Issue 8
Keywords 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
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Snippet Various phenomenon-mimicking algorithms, such as genetic algorithm, simulated annealing, tabu search, ant colony optimization, and particle swarm optimization,...
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SubjectTerms 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
Title Parameter-setting-free harmony search algorithm
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