...Liang Xiao; Hongyong Li; Fumao Yu; Yijie Zhu Purpose Although advancements in algorithms used by online food delivery platforms have improved the efficiency of delivery activities for riders, the exploitative behavior of the platforms’ algorithms has significantly increased the risk of traffic...

...Xing Zhang; Yongtao Cai; Fangyu Liu; Fuli Zhou Purpose This paper aims to propose a solution for dissolving the “privacy paradox” in social networks, and explore the feasibility of adopting a synergistic mechanism of “deep-learning algorithms” and “differential privacy algorithms” to dissolve...

... ontology construction: For each answer given by each student, the keywords and the semantic information are extracted and clustered (hierarchical clustering) using a new improved rider optimization algorithm known as Rider with Randomized Overtaker Update (RR-OU). Ontology matching evaluation: Once...

... 07 2019 31 07 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Data monopolies BDA Artificial intelligence Google Search engines Market bubbles Panopticon Foresight Internet Information systems Algorithms World wide web...

..., the authors proposed a new algorithm, frequent itemsets of CLV weight (FICLV), to discover frequent itemsets from CLV-weighted transactions. Findings Experimental results from the survey data indicate that the proposed FICLV algorithm can discover valuable frequent itemsets. Moreover, the frequent...

... A nearest-neighbor (NN) algorithm is developed for interaction design. Simulation-based experiments are then conducted to compare positive response rates obtained by two forms of this algorithm against that of several control interaction design strategies. A factorial experimental design is employed which...

... shown to be efficient in detecting phishing attacks. In this paper, firefly algorithm (FFA) was integrated with support vector machine (SVM) with the primary aim of developing an improved phishing e-mail classifier (known as FFA_SVM), capable of accurately detecting new phishing patterns as they occur...

..., the impact area of a link is quantified, a partial network scan algorithm for identifying the critical link based on the impact area is put forward and the efficient paths-based assignment algorithm is adopted. Findings – The proposed algorithm can significantly reduce the search space for determining...

... to the scientists interested in recommender systems research as well as to readers interested in solution of related complex practical engineering problems. Algorithms Systems theory As the amount of information on the Web grows explosively, people often feel puzzled and helpless in finding...

... – The authors model the optimal behavior of the various decision makers and CLSC network equilibrium, and derive the equilibrium conditions based on variational inequality approach. The authors present a new Newton method to solve the proposed model. Findings – The authors find that the algorithm...

...Qichang Duan; Mingxuan Mao; Pan Duan; Bei Hu Purpose – The purpose of this paper is to solve the problem that the standard particle swarm optimization (PSO) algorithm has a low success rate when applied to the optimization of multi-dimensional and multi-extreme value functions, the authors would...

...Dr Raul Espejo; Eden Medina Purpose – The history of cybernetics holds important lessons for how we approach present-day problems in such areas as algorithmic regulation and big data. The purpose of this paper is to position Project Cybersyn as a historical form of algorithmic regulation and use...

... algorithms would be insurmountable. Research limitations/implications – The test is limited to a single firm in an experimental setting. Repeating the test on large sample of firms in future research will indicate the general validity of Monte-Carlo-based VAR estimation. Practical implications...

... and vice-versa, this is a particularly difficult combinatorial optimization problem. Design/methodology/approach – The authors develop an algorithm based on the Metaheuristic for Randomized Priority Search (Meta-RaPS) as well as a greedy heuristic and an integer programming (IP) model. The authors...

... is a simple and common neural network model, it is not introduced herein. This section only describes the FOA and MFOA. The FOA was proposed by Pan (2012) , and a number of studies have cited this algorithm (Li et al., 2012a, b ; Yang et al., 2012 ; Abidin et al., 2012...

...Robin Kumar Samuel; P. Venkumar Purpose – The purpose of this paper is to propose a hybrid-simulated annealing algorithm to address the lacunas in production logistics. The primary focus is laid on the basic understanding of the critical quandary occurring in production logistics...

... Information Ethics Art Content Aesthetics Algorithms Entropy Normative Ethics Artistic practices, on the other hand, are tasked with getting it out there. Both areas of activity stem from the same human urge to stare Being straight in the face and sort through what we find, they just...

...Gai-Ge Wang; Amir Hossein Gandomi; Amir Hossein Alavi Purpose – To improve the performance of the krill herd (KH) algorithm, in this paper, a series of chaotic particle-swarm krill herd (CPKH) algorithms are proposed for solving optimization tasks within limited time requirements. The paper aims...

... Mathematical modelling Algorithms One of the most important prognostic tools used to estimate whether an entrepreneur may be required to provide more money than that provided by the normal operations of the company to prevent a lack of funds is the study of the operation called cash flow forecasting...

... new methods on several test problems, and making comparison with conventional methods. Mehdi Dehghan can be contacted at: mdehghan@aut.ac.ir © Emerald Group Publishing Limited 2008 Cybernetics Mathematics Iterative methods Algorithms Consider the 2D biharmonic equation...