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An approach for detecting learning styles in learning management systems based on learners ’ behaviours
Automatic detection of learning styles in learning management systems (LMSs) is an important problem in which many researchers have proven their interest because it enhances learning efficiency byExpand
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A literature-based method to automatically detect learning styles in learning management systems
TLDR
We present a literature-based method that uses learners' behaviours on learning objects as indicators for estimating students' learning styles during an online course conducted in our POLCA learning management system. Expand
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Heuristic methods for the Traveling Salesman Problem with Drone
TLDR
We propose two heuristics: route first cluster second, and cluster first route second, to solve the problem efficiently. Expand
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An Architecture and a Domain Ontology for Personalized Multi-agent e-Learning Systems
TLDR
We present a multi-agent e-learning system that supports pre-defining students' learning styles and re-estimating them during the course for a better personalization. Expand
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LS(Graph): a constraint-based local search for constraint optimization on trees and paths
TLDR
We propose a constraint-based local search framework for COT/COP applications, bringing the compositionality, reuse, and extensibility at the core of constraint- based local search and constraint programming systems. Expand
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Towards the Identification of Disease Associated Protein Complexes
TLDR
We propose a method to identify associations between protein complexes and diseases by using random walk with restart algorithm. Expand
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Solving the Agricultural Land Allocation Problem by Constraint-Based Local Search
TLDR
This paper describes the formulation of the problem and proposes a constraint-based local search algorithm for solving it. Expand
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Adaptation To Learners’ Learning Styles In A Multi-Agent E-Learning System
TLDR
We present a domain ontology that is suitable for adaptive e-learning environments. Expand
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Traveling Salesman Problem with Multiple Drones
TLDR
We adapt the greedy randomized adaptive search procedure (GRASP) (proposed by Ha et al.) and propose an adaptive large neighborhood search (ALNS) heuristic to the resolution of this problem. Expand
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Constraint-Based Local Search for Constrained Optimum Paths Problems
TLDR
Constrained Optimum Path (COP) problems arise in many real-life applications and are ubiquitous in communication networks. Expand
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