Exploring the Effect of Distribution Methods on Meta-Heuristic Searching process
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Dosyalar
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the effect of distributions of solution candidates on the problem space in the meta-heuristic search process and the performance of algorithms has been investigated. For this purpose, solution candidates have been created with random and gauss (normal) distributions. Search performance is measured separately for both types of distribution of algorithms. The performances of the algorithms have been tested on the most popular and widely used benchmark problems. Experimental studies have been conducted on the most recent meta-heuristic search algorithms. It has been seen that the search performance of algorithms varies considerably depending on the method of distribution. In fact, better results were obtained than the distribution methods used in the original versions of the algorithms. Algorithms have revealed their abilities in terms of neighborhoods searching, getting rid of local minimum traps and speeding up searches.
Açıklama
2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY
GUVENC, Ugur/0000-0002-5193-7990; sonmez, yusuf/0000-0002-9775-9835; kahraman, hamdi/0000-0001-9985-6324
WOS: 000426856900069
GUVENC, Ugur/0000-0002-5193-7990; sonmez, yusuf/0000-0002-9775-9835; kahraman, hamdi/0000-0001-9985-6324
WOS: 000426856900069
Anahtar Kelimeler
Gaussian distribution, Meta-heuristic searching, Benchmark problem, Intensification, Diversification
Kaynak
2017 International Conference On Computer Science And Engineering (Ubmk)
WoS Q Değeri
N/A
