Rafet Durgut

Rafet Durgut
Bandirma Onyedi Eylül Üniversitesi · Computer Engineering

Doctor of Engineering

About

33
Publications
6,998
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120
Citations

Publications

Publications (33)
Chapter
Crow Search Algorithm (CSA) is one of the recently proposed swarm intelligence algorithms developed inspiring of the social behaviour of crow flocks. One of the drawbacks of the original CSA is that it tends to randomly select a neighbour on search strategy due to its low convergence rate, which pushes the search to stick in local optima due to the...
Article
Full-text available
In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a parameter or a strategy. Some online and offline strategies are employed in order to obtain optimal con...
Preprint
In the past two decades, metaheuristic optimization algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a parameter or a strategy. Some online and offline strategies are employed in order to obtain optimal con...
Article
Let G=(V(G),E(G)) be a simple molecular graph without directed and multiple edges and without loops. Graph theory has become an important component of the chemical mathematics, and it has become one of the most powerful mathematical tools in the analysis and study of the architecture of a chemical network. It studies of descriptors in quantitative...
Article
Operator selection plays a crucial role in the efficiency of heuristic-based problem solving algorithms, especially, when a pool of operators is used to let algorithms dynamically select operators to produce new candidate solutions. A sequence of selected operators forms up throughout the search which impacts the success of the algorithms. Successi...
Chapter
Metaheuristic and swarm intelligence approaches require devising optimisation algorithms with operators to let produce neighbouring solutions to conduct a move. The efficiency of algorithms using single operator remains recessive in comparison with those with multiple operators. However, use of multiple operators require a selection mechanism, whic...
Article
The artificial bee colony (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees’ food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply it to binary optimization problem...
Article
The mathematical chemistry is the part of theoretical chemistry which is concerned with applications of mathematical applications and methods to chemical problems. Graph theory is the most important part of mathematical chemistry. It studies of descriptors in quantitative structure property relationship (QSPR) and quantitative structure activity re...
Article
he efficiency and effectiveness of metaheuristic optimization algorithms is managed with diverse searchand fast approximation in the solution space. A balanced "exploration" and "exploitation" capability is required to achieve by the neighborhood operators towards the aimed efficiency. The majority ofmetaheuristic algorithms use either single opera...
Article
Full-text available
The wear behavior of AZ91 alloy was investigated by considering different parameters, such as load (10−50 N), sliding speed (160−220 mm/s) and sliding distance (250−1000 m). It was found that wear volume loss increased as load increased for all sliding distances and some sliding speeds. For sliding speed of 220 mm/s and sliding distance of 1000 m,...
Article
Metaheuristics and swarm intelligence algorithms are bio-inspired algorithms, which have long standing track record of success in problem solving. Due to the nature and the complexity of the problems, problem solving approaches may not achieve the same success level in every type of problems. Artificial bee colony (ABC) algorithm is a swarm intelli...
Article
Full-text available
Robot grippers are widely used in a variety of areas requiring automation, precision and safety. The performance of the grippers is directly associated with their design. In this study, four different multi-objective metaheuristic algorithms including Particle Swarm Optimization (MOPSO), Artificial Algae Algorithm (MOAAA), Grey Wolf Optimizer (MOGW...
Chapter
Parkinson’s is a brain disease that affects the quality of human life significantly with very slow progresses. It is known that early diagnosis is of great importance to arrange relevant and efficient treatments. Data analytics and particularly predictive approaches such as machine learning techniques can be efficiently used for earlier diagonosis....
Preprint
The Artificial Bee Colony (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees' food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply this method to binary optimizatio...
Article
The global center is a newly proposed graph concept. For a graph G = ( V ( G ), E ( G )), a set S ⊆ V ( G ) is a global distribution center if every vertex v ∈ V ( G )\ S is adjacent to a vertex u ∈ S with | N [ u ] ∩ S | ≥ | N [ v ] ∩ ( V ( G )\ S )|, where N ( v ) = { u ∈ V ( G )| uv ∈ E ( G )} and N [ v ] = N ( v ) ∪ { v }. The global distributi...
Article
The design of gears with a minimum weight is an optimization problem that has been widely discussed in the literature. Various recent metaheuristic optimization methods, along with the conventional methods, have produced successful results for design optimization problems. In this study, a comprehensive investigation was conducted into the solution...
Article
Full-text available
This article attempts to solve the problem of efficient design of proportional + integral + derivative (PID) controller applied to popular automatic voltage regulator (AVR) system by employing recently introduced symbiotic organisms search (SOS) algorithm, for the first time. PID controller design needs proper determination of three control paramet...
Article
Full-text available
Bu çalışmada, sadece savunma alanında uygulamaları olmayıp iş dünyasında da uygulamaları olan çok zor kombinatoriyel optimizasyon problemlerinden statik silah hedef atama problemini ele alıyoruz. Silah hedef atama probleminin amacı, hedeflerin minimum toplam hayatta kalma değeri ile silahların hedeflere atanmasını bulmaktır. Silah hedef atama probl...
Conference Paper
Co-authorship networks consist of interactions between authors those have co-authored scientific papers. Since bibliographic data is available with time resolution, this type of complex networks are good resources for studying connectivity patterns in real networks. Centrality measures in network analysis are key indicators of identifying nodes of...
Conference Paper
Full-text available
Interactive 3D architectural indoor design have been more popular after it benefited from Virtual Reality (VR) technologies. VR brings computer-generated 3D content to real life scale and enable users to observe immersive indoor environments so that users can directly modify it. This opportunity enables buyers to purchase a property off-the-plan ch...
Conference Paper
Full-text available
In this paper, we deal with the static weapon target assignment (WTA) problem which is a hard combinatorial optimization problem having some industrial applications. The aim of the WTA problem is to find an assignment of weapons to targets with the minimum total survival value of the targets. The WTA problem is known to be NP-complete problem. In t...
Conference Paper
Studying the network of researchers by the means of complex networks instruments provide a comprehensive view of interactions between individuals. This type of studies locates under Network Science as Co-authorship Networks. In this study, we constructed the researcher network of ICEMST conference series spanning the years from 2014 to 2016. In com...
Article
Full-text available
Sensörler ile donatılmış derinlik kamera cihazlarının maliyetlerinin ekonomik olması nedeniyle, günümüzde kullanım alanları artmakta ve yaygınlaşmaktadır. Bu çalışmada bu tür cihazların en çok kullanılanlarından biri olan Kinect cihazından elde edilen veriler üzerinde, Ağırlıklı Dinamik Zaman Bükmesi ve Sembolik Birleştirme Yaklaşımı yöntemleri bir...
Article
Full-text available
Human Action Recognition (HAR) systems are systems that recognize and classify the actions that users perform against the sensor or camera. In most HAR systems, an input test data is compared with the reference data in the database using various methods. Classification process is performed according to the result obtained. The size of the test or r...
Conference Paper
Co-authorship networks are remarkable applications of complex networks, an interdisciplinary framework of exploring systems composed of smaller components with numerous interconnections. Generating connections (links) between collaborating authors, we constructed co-authorship networks of four Turkish universities as İstanbul Technical University,...
Conference Paper
Full-text available
zetçe— Bu çalışmada derinlik kamerasından alınan veriler kullanılarak, insanların kamera karşısında yaptıkları hareketlerin tanımlamasını gerçekleştiren bir uygulama geliştirilmiştir. Derinlik kamerası olarak Microsoft Kinect kullanılmıştır. Tanımlanması gerçekleştirilen hareketler, insanların günlük hayatta yaptıkları hareketleri barındıran Micros...
Conference Paper
zetçe— Bu çalışmada derinlik kamerasından alınan veriler kullanılarak, insanların kamera karşısında yaptıkları hareketlerin tanımlamasını gerçekleştiren bir uygulama geliştirilmiştir. Derinlik kamerası olarak Microsoft Kinect kullanılmıştır. Tanımlanması gerçekleştirilen hareketler, insanların günlük hayatta yaptıkları hareketleri barındıran Micros...
Conference Paper
In this study, an application is developed to recognize human gestures using data which was recorded by using Microsoft Kinect. The data set used in the study is MSRC-12, and it is created by Microsoft. It has several daily human gestures which were recorded from different users. Before gesture recognition process, recorded data was reduced by PAA...

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Project (1)
Project
To develop a physical rehabilitation system