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Publications (14)
Mild cognitive impairment (MCI) is an intermediate stage between age-related cognitive decline. Alzheimer's disease (AD) is a more serious decline in dementia. Early identification of mild cognitive impairment with a high risk of Alzheimer's disease is very important for increasing the success rate of the treatment. In this study, we present a Vari...
Japanese pencil games have been the subjects of innumerable papers. However, some problems - like Sudoku - receive far more attention than others - like Nurikabe. In this paper we propose a novel algorithm to solve Nurikabe puzzles. We first introduce a sequential hybrid algorithm that we call Scattered Variable Neighborhood Search. We then propose...
In this paper, two novel models based on the Variable Neighborhood Search (VNS) algorithm are proposed to solve Sudoku puzzles. For the first model (Unfiltered-VNS), four neighborhood structures are proposed. The Filtered-VNS, which is the second model, uses filtering to reduce the number of partial infeasible solutions in the search area. Local se...
The aim of this study is to solve the newspaper delivery optimization problem for a media delivery company in Turkey by reducing the total cost of carriers. The problem is modelled as an open vehicle routing problem (OVRP), which is a variant of the vehicle routing problem. A variable neighbourhood search-based algorithm is proposed to solve a real...
The rapid development of emerging technologies for mobile devices has enabled them to contribute strongly to the creation of new paths for learning. In this paper, a novel context-aware mobile learning application is proposed to encourage and promote hadith learning. Prophetic narrations texts or hadith are considered as a very important source of...
The rapid development of emerging technologies for mobile devices makes them able to contribute strongly to the creation of new paths for learning. In this paper, a novel context aware mobile application (YouGuide) is proposed to encourage and promote the cultural learning. Prophetic narrations (Hadith) texts are considered as a very important sour...
Sudoku is a well-known puzzle that has achieved international popularity in the latest decade. Recently, there are explosive growths in the application of metaheuristic algorithms for solving Sudoku puzzles. In this paper, an algorithm based on Variable Neighborhood Search (VNS) is proposed to solve the Sudoku problem and the details of the impleme...
In the e-learning systems developed along the last two decades, developers focused on the user characteristics in order to adapt the proposed content to the user needs and preferences. This adaption is especially based on a user model where the user preferences are stored. When coming with the mobile learning, the wide variety of technical characte...
Mobile learning extends e-learning, from indoors to outdoors by giving learners opportunities to improve their skills when and where needed. By this way, the mobile device can be a powerful tool for learners to acquire information and knowledge. However, one of the biggest challenges in mobile learning is addressing the needs of a varied learner ty...
In this paper, we present a novel approach to strengthen Particle Swarm Optimization (PSO). PSO is a population-based metaheuristic that takes advantage of individual memory and social cooperation in a swarm. It has been applied to a variety of optimization problems because of its simplicity and fast convergence. However, straightforward applicatio...