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Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction [PDF]
Online social networks (OSN) are one of the most popular forms of modern communication and among the best known is Facebook. Information about the connection between users on the OSN is often very scarce. It's only known if users are connected, while the
Humski, Luka +2 more
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Retracted: Improved artificial bee colony algorithm with opposition‐based learning
The artificial bee colony (ABC) algorithm is a biological‐inspired optimisation algorithm proposed by Karaboga. Since its solution search equation is good at exploration but poor at exploitation, the ABC algorithm converges slowly and is easy to fall ...
Yongcun Cao, Saisai Ji, Yong Lu
doaj +1 more source
Meta-heuristics are commonly applied to solve various global optimization problems. In order to make the meta-heuristics performing a global search, balancing their exploration and exploration ability is still an open avenue.
Tapas Si +7 more
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Learning and steering: changing implementation patterns and the Greek central government [PDF]
Greece is frequently characterized as a laggard in the implementation of EU policy. This article examines the key characteristics of the Greek central government and links them to patterns of policy implementation.
Dimitrakopoulos, Dionyssis G.
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Are Two Opposite Points Better Than One?
Various opposition-based learning (OBL) strategies were proposed to further improve solution quality since 2005. However, in all existing OBLs, only one opposite point is generated for a given candidate solution in population.
Na Wang +4 more
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Hybrid Harmony Search Optimization Algorithm for Continuous Functions
This paper proposes a hybrid harmony search algorithm that incorporates a method of reinitializing harmonies memory using a particle swarm optimization algorithm with an improved opposition-based learning method (IOBL) to solve continuous optimization ...
José Alfredo Brambila-Hernández +4 more
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TAPping into argumentation: Developments in the application of Toulmin's Argument Pattern for studying science discourse [PDF]
This paper reports some methodological approaches to the analysis of argumentation discourse developed as part of the two-and-a-half year project titled "Enhancing the Quality of Argument in School Science" supported by the Economic and Social Research ...
Erduran, S +2 more
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An Improved Grey Prediction Evolution Algorithm Based on Topological Opposition-Based Learning
The grey prediction evolution algorithm based on the even grey model (GPEAe) proposed by Z.B.Hu et al. in 2019 is a competitively stochastic real-parameter optimization algorithm with characters of simple code, less parameters and strong exploration ...
Canyun Dai +4 more
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A novel optimization method, namely, the elite opposition learning and polynomial steps-based sunflower optimization (EOPSFO) algorithm, has been proposed to solve engineering problems. To speed up the convergence, the elite opposition-based learning and
Liye Lv, Yongliang Yuan
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A quantitative taxonomy of human hand grasps [PDF]
Background: A proper modeling of human grasping and of hand movements is fundamental for robotics, prosthetics, physiology and rehabilitation. The taxonomies of hand grasps that have been proposed in scientific literature so far are based on qualitative ...
Atzori, Manfredo +5 more
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