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Son yıllarda yaşanan ekonomik daralma sonucunda üretim maliyetlerini azaltmak ve kar marjlarını arttırmak firmalar için önemli bir hedef haline gelmiştir. Özellikle lojistik ve dağıtım şirketlerinin operasyonel işlemleri araç rotalama problemi olarak ele alına…

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

Flexible job shop scheduling problem (FJSSP) contains two sub-problems, that is, routing and scheduling. Each operation is assigned to a machine among a set of alternative machines in the routing sub-problem, whereas the assigned operations on all machines are…

Günümüzde işletmelerin, küresel rekabet, teknolojik yenilikler, ürün yaşam çevriminin kısalması, müşteri profilinde meydana gelen değişimlerden dolayı tüketici davranışlarını iyi analiz ederek müşteri istek ve beklentilerine uygun yeni ürün geliştirmeleri ve p…

A serial hybrid optical amplifier composing of two amplification stages of erbium-doped fiber (EDF) amplifier covered C-band window and Raman fiber amplifier (RFA) covered L band window demonstrated. In this paper, the optimizations were done to obtain the opt…

The hub location problem deals with locating hub facilities and allocating non-hub nodes to hub. Hub location problem is classified as p-hub median problem, p-hub center problem, hub covering problem and hub location problem with fixed cost in the literature. …

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

In this study, a PID controller with fractional order derivative filter (PIDFF) is designed for automatic voltage regulation (AVR) in power systems. In order to ensure maximum transient and steady state performance from the designed controller, the controller …

Günümüzde, birçok araştırmacı optimizasyon problemleri çözen algoritmaları geliştirme eğilimindedir. Gerçek dünya problemleri ise genelde birden çok amaca sahip oldukları için çok amaçlı optimizasyon problemleri üzerine geliştirilen algoritmalar trend olmuştur…

In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…

Sınav sorularının elle hazırlanması özellikle kısıtlı zamana sahip eğitimciler için büyük zorluk oluşturmaktadır. Ayrıca elle hazırlanan sınavlar soru tekrarı, ölçme ve değerlendirmeyi sağlayamama veya güvenlik sorunları gibi problemlere neden olmaktadır. Sına…

Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …

Differential evolution algorithm (DEA) is one featured kind of population based evolutionary algorithms. Although it is stated in previous studies that the algorithm is more sensitive to the crossover rate, it is tried out in this study whether DEA depends on …

Fotovoltaik (FV) sistemler birkaç W’dan, MW’a kadar ölçeklendirilebilmesi gibi özelliklerinden dolayı en çok yaygınlaşan yenilenebilir enerji kaynağı türüdür. Bu enerji kaynağından en yüksek oranda yararlanılabilmesi maksimum güç noktasını izleyen (MPPT) dönüş…

The U-shaped assembly line balancing (UALB) problem has been extensively investigated in the existing academic literature. However, only a limited number of studies consider the uncertainty in the assembly lines. In this research, a robust formulation is devel…

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…

Haptic devices are used in a variety of virtual reality applications in order to allow user interaction with virtual objects. These devices transfer user comments such as rotations, transitions or deformations to the virtual environment and also transfer any r…

Ball and beam system is an experimental set for control system design that the position of the ball on a beam is changed with respect to the reference direction by changing the angle of the beam. The PID controller is applied to this problem. The performance o…

In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …