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Dergiler / Chaos Theory and Applications / 2019 / Volume: 1 Issue: 1

The Chaos-Based Whale Optimization Algorithms Global Optimization

Zeynep Garip(SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0002-0420-8541
Murat Erhan Cimen(SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0002-1793-485X
Durmuş Karayel(SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0001-9326-466X
Ali Fuat Boz(SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0001-6575-7678
Sayfa
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Yayın Tarihi
2019-11-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

According to the simulation results, all the chaotic maps used in the study significantly improved the performance of the WOA algorithm.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Whale optimization algorithm (WOA) is one of the methods used effectively and efficiently to solve optimization problems in various fields.
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Temel Bulgular & Veri:In the study, 5 different discrete chaotic maps were used in the aim of increasing the efficacy and efficiency of the WOA algorithm.
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Sonuç & Katkı:According to the simulation results, all the chaotic maps used in the study significantly improved the performance of the WOA algorithm.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Chaos · Discrete time chaotic systems · Whale optimization algorithm

Abstract

Whale optimization algorithm (WOA) is one of the methods used effectively and efficiently to solve optimization problems in various fields. In the study, 5 different discrete chaotic maps were used in the aim of increasing the efficacy and efficiency of the WOA algorithm. CBWOA 1, CBWOA 2, CBWOA 3 and CBWOA 4 algorithms based on chaotic maps and whale optimization algorithm have been proposed for global optimization. In order to adjust the parameters contained in the WOA, random number sequences from Tinkerbell, Sine, Logistic, Tent and Henon chaotic maps were used. In order to test the accuracy of the developed algorithms and do the performance analysis, six different unimodal and multimodal benchmark functions were used. According to the simulation results, all the chaotic maps used in the study significantly improved the performance of the WOA algorithm.

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Bu Makaleye Atıf Yap

Garip, Z., Cimen, M. E., Karayel, D., Boz, A. F. (2019). The Chaos-Based Whale Optimization Algorithms Global Optimization. Chaos Theory and Applications, Volume: 1 Issue: 1. https://ajindex.com/articles/1378691

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