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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| Format: | Article |
| Language: | English |
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Suleyman Demirel University
2019-08-01
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| Series: | Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| Online Access: | http://dergipark.org.tr/tr/download/article-file/787688 |
| Summary: | 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. |
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| ISSN: | 1300-7688 1308-6529 |