Kaotik Harita Temelli Ağaç Tohum Algoritması

Year 2019, , 601 - 610, 25.08.2019

Burhanettin Durmuş

https://doi.org/10.19113/sdufenbed.557544

Cited By: 1

Abstract

Kaotik
haritalama tekniklerinin sezgisel algoritmalarda rastgele sayı üreteci olarak
kullanımı giderek yaygınlaşan bir konudur. Geniş bir spekturuma sahip bu
haritalama teknikler, sezgisel algoritmaların rastgele seçimlerindeki
çeşitliliği arttırarak performans artışı sağlamaktadırlar. Ağaç tohum
algoritması (TSA), son dönemde önerilmiş popülasyon temelli sezgisel
algoritmalardan biridir. Doğadaki ağaç ve tohum gelişimini ilham alan bu
algoritma, hesapsal süreci boyunca rastgele sayı dizilerini kullanan işlem
basamaklarına sahiptir. Bu çalışmada, kaotik haritalama kullanılarak TSA ‘nın
performansında iyileştirmeye odaklanılmıştır. Beş farklı kaotik harita temelli
TSA (CTSA) metodu geliştirilmiştir. Geliştirilen metotların performansları 24
adet test fonksiyonu üzerinden karşılaştırılmıştır. Elde edilen sonuçlar,
kaotik haritalamanın TSA’nın yakınsama ve lokal optimumdan kaçış performansına
katkı sağladığını göstermektedir.

Keywords

Ağaç tohum algoritması, Kaotik haritalar, Sezgisel algoritmalar

Chaotic Map Based Tree Seed Algorithm

Abstract

The
use of chaotic maps as a random number generator in metaheuristics is a common
issue. These methods, which have a spread spectrum, increase the diversity in
the random selection of heuristic algorithms, resulting in increased
performance. Tree seed algorithm (TSA) is one of the recently proposed
population-based metaheuristic algorithms. Inspired by the growth of trees and
seeds in nature, this algorithm has processing phases that use random numbers
throughout the computational process. This paper focuses on improving the
performance of the TSA using chaotic mapping. Five chaotic based TSA’s (CTSA’s)
are developed. The developed methods are benchmarked on 24 test functions.  The obtained results show that chaotic mapping
contributes to the performance of TSA in terms of both local optima avoidance
and convergence speed.

Keywords

Tree seed algorithm, Chaotic maps, Metaheuristics

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