Yazar "Zeybek, Sultan" için listeleme
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Combinatorial Bees Algorithm for Vehicle Routing Problem
Ismail, Asrul Harun; Hartono, Natalia; Zeybek, Sultan; Caterino, Mario; Jiang, Kaiwen (Wiley, 2021)Vehicle routing problem (VRP) is a combinatorial optimization problem that has been studied intensively for years. Although VRP can be solved using an exact method for small instances, a more complex one will be impractical ... -
Enhancing Nearest Centroid with Coverage Principle for Classification Problem
Asrul, Harun Ismail; Zeybek, Sultan; Ignatius, Hargyo T.N. (Institute of Electrical and Electronics Engineers Inc., 2021)Motivated by the network coverage of the trans- mitter, this research proposes a novel coverage-based method to improve the Nearest Centroid’s class prediction by replacing the centroid with radius coverage as the ... -
Estimation of Surface Roughness in Selective Laser Sintering Using Computational Models
Koç, Ebubekir; Zeybek, Sultan; Kısasöz, Burçin Özbay; Çalışkan, Cemal İrfan; Bulduk, Mustafa Enes (Springer, 2022)This study presents a comprehensive experimental dataset and a novel classification model based on Deep Neural Networks to estimate surface roughness for additive manufacturing. Many problems exist due to the very complex ... -
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
Zeybek, Sultan; Pham, Duc Truong; Koç, Ebubekir; Seçer, Aydın (MDPI, 2021)Recurrent neural networks (RNNs) are powerful tools for learning information from temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training issues, such as vanishing and exploding ... -
An Improved Vantage Point Bees Algorithm to Solve Combinatorial Optimization Problems from TSPLIB
Zeybek, Sultan; Ismail, Asrul Harun; Hartono, Natalia; Caterino, Mario; Jiang, Kaiwen (Wiley, 2021)This paper presents an improved version of the Vantage Point Bees Algorithm (VPBA-II), which is implemented to solve the Travelling Salesman Problem. The Vantage Point Tree has been used to produce initial tour solutions ... -
MS-TR: A Morphologically Enriched Sentiment Treebank and Recursive Deep Models for Compositional Semantics in Turkish
Zeybek, Sultan; Koç, Ebubekir; Seçer, Aydın (Taylor & Francis, 2021)Recursive Deep Models have been used as powerful models to learn compositional representations of text for many natural language processing tasks. However, they require structured input (i.e. sentiment treebank) to encode ... -
Prediction of the Remaining Useful Life of Engines for Remanufacturing Using a Semi-supervised Deep Learning Model Trained by the Bees Algorithm
Zeybek, Sultan (Springer, 2023)Smart and sustainable manufacturing is important for enterprises to handle global challenges [1]. Products, systems, and components are reused, remanufactured, and recycled instead of being disposed of in landfills, which ... -
The Vantage Point Bees Algorithm
Zeybek, Sultan; Koç, Ebubekir (Institute of Electrical and Electronics Engineers (IEEE), 2015)In this paper, an implementation of vantage point local search procedure for the Bees Algorithm (BA) in combinatorial domains is presented. In its basic version, the BA employs a local search combined with random search ...
