A useful and flexible method based on the salp swarm algorithm (SSA) for the pattern nulling of linear antenna arrays with the prescribed nulls is presented. SSA is a relatively new population based evolutionary optimization algorithm. Nulling of the pattern i…
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18 results for “Metaheuristic algorithms”
Wireless Sensor Networks, used widely nowadays, are likely to be unprotected against a variety of external attacks because they are often used in outdoor applications. Protecting the network against attack and ensuring the safety of the data has always been im…
Bu çalışmada, frekans çözünürlüğünün (yankı çözünürlüğünün) R-MUSIC (Root-MUSIC, Çoklu Sinyal Sınıflandırma) ve ESPRIT (Rotasyonel Değişmezlik Tekniği ile İşaret Parametrelerinin Kestirimi) yöntemleri kullanılarak nasıl değiştiği incelenmiştir. Bu yöntemler,…
In this paper, three different types of coordinate transformations that are frequently used in geodetic applications are given the details of their application with evolutionary algorithms. Similarity (Helmert), Affin and Projective transformation models commo…
Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…
Bu çalışmada Yapay Arı Koloni optimizasyon algoritmalarının üç varyantı sürü robotların hedef bulma probleminde kullanılmıştır. Yapay arı kolonisi optimizasyon algoritmalarının Unity 3D ortamında simülasyonunu gerçekleştiren yazılım geliştirilmiştir. Sürü ro…
Due to the population growth, the use and management of natural resources has been one of the most important issues while ecological studies are gaining importance. In this context, the use and management of water which is the main source of life has had a maj…
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…
Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…
In this paper, a different approach for the optimal active power flow solution in multi-terminal HVDC systems to minimize total active power generation cost is proposed. System constraints for all of the control and state variables of both AC and DC systems ar…
Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…
İnternette yaygın veri kullanımı ve kapasitesi her geçen gün hızla artmaktadır. Bu nedenle, bu verilerin aktarımı veya iletimi sırasında veri güvenliği önem arz etmektedir. Dolayısıyla, birçok veri şifreleme algoritmaları kullanılmaktadır. Literatürde en yaygı…
Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an object recogni…
Optimal operation of the power systems is very important. In this paper, a new approach for both the economic active power flow and active power loss minimization in multi-terminal HVDC systems is proposed. In the proposed optimization approach, system constra…
This paper presents a different approach for the optimal active power flow solution in multi-terminal AC-DC systems to minimize total active power generation cost. System constraints for all of the control and state variables of both AC and DC systems are also…
Optimal reactive power flow and economic power dispatch is very important in power systems. Optimal reactive power flow provides minimum active power loss and economic power dispatch provides minimum active power generation cost in power systems. This study pr…
Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands multimodal information, thus implicitly capturing intricate structures of …
Bilişsel radyo kullanılmayan ya da az kullanılan spektrum bantlarına dinamik olarak erişim olanağı sağlayan ve kullanıcılar arasında herhangi bir olumsuzluğa neden olmadan spektrum paylaşımını gerçekleştiren yazılım tabanlı bir teknolojidir. Kablosuz haberleşm…