New cuckoo search algorithms with enhanced exploration and exploitation properties

Salgotra, Rohit; Singh, Urvinder; Saha, Sriparna

doi:10.1016/j.eswa.2017.11.044

Cited by 116 publications

(48 citation statements)

References 38 publications

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“…The division of population and generation increases the diversification and hence improves the performance. Many benchmark functions having been tested with this version and reported earlier [20]. In division of generation, a standard equation is used for half of the generations which gives best explorative results and some computation has been done for remaining half which gives intensive exploitation.…”

Section: Improved Cuckoo Search Methodologymentioning

confidence: 99%

Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

2019

IJITEE

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In radar signal processing pulse compression has been extensively used which solves the problem of maintaining simultaneously high transmit energy of long pulse and large range resolution of short pulse. The concept of pulse compression can be best understood from matched filtering that determines the ratio of peak of the sidelobe to peak value of mainlobe. But the resolution of weak targets from stronger one is difficult due to range sidelobes in the auto-correlation pattern of matched filter. With this idea of reducing these sidelobes, various optimization techniques are used. This paper represents a method to optimize the performance of chaotic sequence using mismatched filter. The optimization completely depends on the design of coefficients of mismatched filter at the receiver side. Here improved cuckoo search method is used instead of Lévy flight cuckoo search with the differential evolution technique to complete the design of cascaded mismatched filter. Finally, improved results are obtained as compared to Lévy flight method of cuckoo search.

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Section: Improved Cuckoo Search Methodologymentioning

confidence: 99%

Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

2019

IJITEE

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“…Bunlar deterministtik olmayan (tamamen rastgele gerçekleşen), deterministtik olan (tamamen uygunluk değerine bağlı olarak gerçekleşen) ve karma seçim yöntemleri (uygunluk değerini ve rastgeleliği dikkate alarak gerçekleşen) olarak özetlenebilir [18][19][20][21][22]. Genetik algoritma dışındaki MSA algoritmalarında seçim yöntemi olarak en çok deterministtik olan yöntem kullanılmaktadır [1][2][3][4][5][23][24][25][26][27][28][29][30]. Bu yöntemin uygulanışı topluluk içerisinde uygunluk değeri en yüksek olan çözüm adayının seçilmesidir.…”

Section: A Seçi̇m Yöntemleri̇ Ve Rulet Tekerleği̇unclassified

Rulet Elektromanyetik Alan Optimizasyon (R-EFO) Algoritması

Kahraman¹

2020

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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Meta-sezgisel optimizasyon algoritmalarının yerel arama performansları üzerinde etkili olan iki temel öğe seçim yöntemleri ve arama operatörleridir. Bu makale çalışmasında olasılıksal bir seçim yöntemi olan rulet tekerleğinin güncel bir meta-sezgisel arama tekniği olan elektromanyetik alan optimizasyon (electromagnetic field optimization, EFO) algoritmasının yerel arama performansı üzerindeki etkisi araştırılmaktadır. Elektromanyetik optimizasyon algoritmasında çözüm adayları topluluğu uygunluk değerlerine bağlı olarak pozitif, nötr ve negatif alanlara ayrılmaktadır. Bu üç alandan seçilen çözüm adayları ise arama sürecine rehberlik etmektedirler. Bu süreçte çözüm adayları açgözlü ve rastgele seçim yöntemleri ile belirlenmektedir. Bu makale çalışmasında ise negatif alandan çözüm adaylarının seçimi için rulet tekniği kullanılmaktadır. Deneysel çalışmalarda literatürdeki en güncel sürekli değer problemleri olan CEC17 test seti kullanılmıştır. Deneysel çalışma sonuçları istatistiksel olarak ikili karşılaştırmalarda kullanılan wilcoxon runk sum test ile analiz edilmiştir. Analiz sonuçlarına göre rulet seçim yöntemi EFO algoritmasının arama performansını kayda değer şekilde artırmaktadır.

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“…Besides, two new ideas, division of populace and division of ages, are likewise acquainted in CS so similarly as with equalization the investigation and abuse. The proposed forms of CS are tried on 24 standard benchmark issues with various measurement sizes and shifting populace sizes and the impact of likelihood switch has been examined.. [9] Soham Ghosh, Sourya Roy, Mallick et al (2014) Images are One of the most outstanding significant modes for transmission and introduction of data. Different regions, for example, biomedical science, shortcoming identification, machine learning, and so on .Mostly use images as information.…”

Section: Ezhilarasi P Et Al (2014) the Adequacy Of Lossless Imagementioning

confidence: 99%

Document Image Compression using DC-DWT

Thakare¹,

Kale²

2019

IJITEE

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Scanned Document Image compression is an important technology for digital image transmission and storage. This study proposes a unique image compression system based on discrete curvelet transform & discrete wavelet Transform (DC-DWT) with a varying pixels position. The discrete wavelet and the Curvelet transform technique, which because of their outcomes and characteristics, DWT and CT are the most suitable technology for the varied field of image processing. The position of a pixel in the document images and the high-impact components are handled using the curve let transform technique during the compression of the JPEG image. The Cuckoo search algorithm is used for image enhancement. Depending on two primary criteria checks, excellent outcomes were achieved; the compression ratio and the quality of recreated scan document.

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New cuckoo search algorithms with enhanced exploration and exploitation properties

Cited by 116 publications

References 38 publications

Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

Rulet Elektromanyetik Alan Optimizasyon (R-EFO) Algoritması

Document Image Compression using DC-DWT

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