Chaotic Moth Swarm Algorithm
| dc.contributor.author | Güvenç, Uğur | |
| dc.contributor.author | Duman, Serhat | |
| dc.contributor.author | Hınıslıoğlu, Yunus | |
| dc.date.accessioned | 2020-04-30T22:40:40Z | |
| dc.date.available | 2020-04-30T22:40:40Z | |
| dc.date.issued | 2017 | |
| dc.department | DÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| dc.description | IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) -- JUL 03-05, 2017 -- Gdynia, POLAND | en_US |
| dc.description | GUVENC, Ugur/0000-0002-5193-7990; Duman, Serhat/0000-0002-1091-125X | en_US |
| dc.description | WOS: 000450992400017 | en_US |
| dc.description.abstract | Moth Swarm Algorithm (MSA) is one of the newest developed nature-inspired heuristics for optimization problem. Nevertheless MSA has a drawback which is slow convergence. Chaos is incorporated into MSA to eliminate this drawback. In this paper, ten chaotic maps have been embedded into MSA to find the best numbers of prospectors for increase the exploitation of the best promising solutions. The proposed method is applied to solve the well-known seven benchmark test functions. Simulation results show that chaotic maps can improve the performance of the original MSA in terms of the convergence speed. At the same time, sinusoidal map is the best map for improving the performance of MSA significantly. | en_US |
| dc.description.sponsorship | Yildiz Tech Univ, IEEE Poland Sect, IEEE Syst Man & Cybernet Soc, Gdynia Maritime Univ Students & Alumni Fdn, Gdynia Maritime Univ, IEEE, IEEE Syst Man & Cybernet Soc Chapter, Poland Sect, IEEE Syst Man & Cybernet Soc Tech Comm Computat Collect Intelligence | en_US |
| dc.identifier.endpage | 95 | en_US |
| dc.identifier.isbn | 978-1-5090-5795-5 | |
| dc.identifier.startpage | 90 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/3033 | |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2017 Ieee International Conference On Innovations In Intelligent Systems And Applications (Inista) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | chaotic maps | en_US |
| dc.subject | optimization | en_US |
| dc.subject | moth swarm algorithm | en_US |
| dc.title | Chaotic Moth Swarm Algorithm | en_US |
| dc.type | Conference Object | en_US |
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