Hybrid Harmony Search algorithm for Global Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F13%3A86089363" target="_blank" >RIV/61989100:27740/13:86089363 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/NaBIC.2013.6617841" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2013.6617841</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2013.6617841" target="_blank" >10.1109/NaBIC.2013.6617841</a>
Alternative languages
Result language
angličtina
Original language name
Hybrid Harmony Search algorithm for Global Optimization
Original language description
This paper proposes two hybrid optimization methods based on Harmony Search algorithm (HS) and two different nature-inspired metaheuristic algorithms. In the first contribution, the combination was between the Improved Harmony Search (IHS) and the Particle Swarm Optimization (PSO). The second contribution merged the IHS with the Differential Evolution (DE) operators. The basic idea of hybridization was to ameliorate all the harmony memory vectors by adapting the PSO velocity or the DE operators in orderto increase the convergence speed. The new algorithms (IHSPSO and IHSDE) have been compared to the IHS, DE, PSO and some other algorithms like DHS and HSDM. The DHS and HSDM are two existing algorithms, which use different hybridization concepts betweenHS and DE. All of these algorithms have been evaluated by different test Benchmark functions. The results demonstrated that the hybrid algorithm IHSDE have the better convergence speed into the global optimum than the IHSPSO and the stan
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 World Congress on Nature and Biologically Inspired Computing, NaBIC 2013
ISBN
978-1-4799-1415-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
69-75
Publisher name
Elsevier
Place of publication
New York
Event location
Fargo
Event date
Aug 12, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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