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A Case Study on Learning visual programing with TutoApp for Composition of Tutorials: An approach for Learning by Teaching
Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, …
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A general variable neighborhood search for the cyclic antibandwidth problem
Graph Layout Problems refer to a family of optimization problems where the aim is to assign the vertices of an input graph to the …
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Avaddon ransomware: An in-depth analysis and decryption of infected systems
Malware is an emerging and popular threat flourishing in the underground economy. The commoditization of Malware-as-a-Service (MaaS) …
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A fast variable neighborhood search approach for multi-objective community detection
Community detection in social networks is becoming one of the key tasks in social network analysis, since it helps analyzing groups of …
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A heuristic approach for the online order batching problem with multiple pickers
The Online Order Batching Problem with Multiple Pickers (OOBPMP) consists of optimizing the operations related to the picking process …
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A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective k-Balanced Center Location Problem
This paper presents a hybridization of Strategic Oscillation with Path Relinking to provide a set of high-quality nondominated …
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A multi-objective parallel variable neighborhood search for the bi-objective obnoxious p-median problem
Researchers and practitioners have addressed many variants of facility locations problems. Each location problem can be substantially …
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A New Scatter Search Design for Multiobjective Combinatorial Optimization with an Application to Facility Location
Scatter search (SS) is a well-established metaheuristic solution methodology that has seen most of its success in single-objective …
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A quick GRASP-based method for influence maximization in social networks
The evolution and spread of social networks have attracted the interest of the scientific community in the last few years. …
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A review on discrete diversity and dispersion maximization from an OR perspective
The problem of maximizing diversity or dispersion deals with selecting a subset of elements from a given set in such a way that the …
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