Chaotic Map Based Tree Seed Algorithm

Chaotic Map Based Tree Seed Algorithm

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...

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Main Author: Burhanettin DURMUS
Format: Article
Language:English
Published: Suleyman Demirel University 2019-08-01
Series:Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Online Access:http://dergipark.org.tr/tr/download/article-file/787688
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spelling doaj-ff796d457470487d95652c963e11f6592020-11-25T02:01:34ZengSuleyman Demirel UniversitySüleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi1300-76881308-65292019-08-0123260161010.19113/sdufenbed.557544Chaotic Map Based Tree Seed AlgorithmBurhanettin DURMUSThe 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 TSAs (CTSAs) 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.http://dergipark.org.tr/tr/download/article-file/787688
collection DOAJ
language English
format Article
sources DOAJ
author Burhanettin DURMUS
spellingShingle Burhanettin DURMUS
Chaotic Map Based Tree Seed Algorithm
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi
author_facet Burhanettin DURMUS
author_sort Burhanettin DURMUS
title Chaotic Map Based Tree Seed Algorithm
title_short Chaotic Map Based Tree Seed Algorithm
title_full Chaotic Map Based Tree Seed Algorithm
title_fullStr Chaotic Map Based Tree Seed Algorithm
title_full_unstemmed Chaotic Map Based Tree Seed Algorithm
title_sort chaotic map based tree seed algorithm
publisher Suleyman Demirel University
series Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi
issn 1300-7688
1308-6529
publishDate 2019-08-01
description 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 TSAs (CTSAs) 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.
url http://dergipark.org.tr/tr/download/article-file/787688
work_keys_str_mv AT burhanettindurmus chaoticmapbasedtreeseedalgorithm
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