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Adaptive systems refer to autonomous interactive systems that adjust their behavior and functionality to environmental changes. In e-learning context, adaptive e-learning systems (AESs) adapt their services to users interests, knowledge and goals. In order to investigate the trend of researches in the field of adaptation in e-learning systems, a(More)
Magnetic Optimization Algorithm (MOA) has emerged as a promising optimization algorithm that is inspired by the principles of magnetic field theory. In this paper we improve the performance of the algorithm in two aspects. First an Opposition-Based Learning (OBL) approach is proposed for the algorithm which is applied to the movement operator of the(More)
Wireless sensor networks (WSNs) are emerging as an efficient way to sense the physical phenomenon without the need of wired links and spending huge money on sensor devices. In WSNs, finding the accurate locations of sensor nodes is essential since the location inaccuracy makes the collected data fruitless. In this paper, we propose a two-objective memetic(More)
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