Documents dont l'auteur est "Aloise, Daniel"

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Daniel AloiseDépartement de génie informatique et génie logiciel

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Nombre de documents: 140

2026

Yoshiaki Okano, E., Aloise, D., & Nascimento, M. C. V. (2026). An analytics framework for graph-based anomaly detection in healthcare time series. Healthcare Analytics, 100447. Lien externe

Gomes Ferreira Bertalan, V. (2026). Using Language Models for Knowledge Mining of Software Logs [Thèse de doctorat, Polytechnique Montréal]. Disponible

Midingoyi, M. H., Aloise, D., Brimberg, J., & Drezner, Z. (2026). K-means with controlled center updates: Rethinking the centroid update rule. (Rapport technique n° G-2026-18). Lien externe

Midingoyi, M. H., Meneses do Nascimento, A. E., & Aloise, D. (mai 2025). A Variable Neighborhood Search Heuristic forSemi-supervised Minimum Sum-of-Squares Clustering [Communication écrite]. 11th International Conference on Variable Neighborhood Search (ICVNS 2025), Montréal, QC, Canada. Publié dans Lecture notes in computer science. Lien externe

Riordan, A., Aloise, D., & Martín-Santamaría, R. (mai 2025). Large language models for metaheuristic implementation: a case study with variable neighborhood search [Communication écrite]. 11th International Conference on Variable Neighborhood Search (ICVNS 2025), Montreal, Quebec, Canada. Accès restreintDisponible

Bertalan, V. G. F., Faraji Daneshgar, F., & Aloise, D. (mars 2026). Extracting Causal Relations from Log Sequences Using Causal Language Models [Communication écrite]. International Conference on Software Analysis, Evolution and Reengineering (SANER 2026), Limassol, Cyprus. Lien externe

Okano, E. Y., Aloise, D., & Nascimento, M. C. V. (2026). Ranking time series anomaly detection algorithms using meta-learning. Pesquisa Operacional, 46, e302988 (31 pages). Lien externe

2025

Mssellati, N. (2025). Modèle d'optimisation pour le transbordement de palettes dans des conteneurs [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Sudoso, A. M., & Aloise, D. (2025). A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering. INFORMS journal on computing, 16 pages. Lien externe

Sudoso, A. M., & Aloise, D. (2025). Code and Data Repository for A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering. INFORMS journal on computing. Lien externe

Sudoso, A. M., & Aloise, D. (2025). Code and data repository for A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering [Ensemble de données]. Lien externe

Correia Pereira, T., Aloise, D., & Rancourt, M.-È. (2025). HurricaneLog: a serious game for data collection and analysis of hurricane preparedness and response operations. International Journal of Disaster Risk Reduction, 124, 105503 (22 pages). Disponible

Jeske, M., Aloise, D., Sanso, B., & Nascimento, M. C. V. (2025). Enhancing reference signal received power prediction accuracy in wireless outdoor settings: a comprehensive feature importance study. IEEE Transactions on Antennas and Propagation, 73(10), 8022-8037. Disponible

Aloise, D., Moine, R., Ribeiro, C. C., & Jalbert, J. (2025). First-improvement or best-improvement? An in-depth local search computational study to elucidate a dominance claim. European Journal of Operational Research, 326(3), 413-426. Lien externe

Willemsen, R., Aloise, D., & Jans, R. (2025). Accelerating Benders decomposition for the p-median problem through variable aggregation. (Rapport technique n° G-2025-27). Lien externe

Riordan, A., Aloise, D., & Martín Santamaría, R. (2025). Supplementary material for Large language models for metaheuristic implementation: a case study with variable neighborhood search [Ensemble de données]. Lien externe

2024

Rastgar-Amini, F., Aloise, D., Contardo, C., & Desaulniers, G. (2024). Data Mining-Driven Shift Enumeration for Accelerating the Solution of Large-Scale Personnel Scheduling Problems. ACM Transactions on Evolutionary Learning and Optimization, 24 pages. Lien externe

Martins Silva, M. C., Aloise, D., & Jena, S. D. (2024). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. Omega, 129, 103141 (15 pages). Disponible

Ton, K. T., Aloise, D., & Contardo, C. (2024). On Removing Diverse Data for Training Machine Learning Models. Dans Rassias, T. M., & Pardalos, P. M. (édit.), Mathematical Analysis, Differential Equations and Applications (Vol. 11, p. 761-783). Lien externe

Aloise, D., Moine, R., Ribeiro, C. C., & Jalbert, J. (2024). First-improvement or best-improvement? An in-depth local search computational study to elucidate a dominance claim. (Rapport technique n° G-2024-47). Lien externe

Martins Silva, M. C., Aloise, D., & Jena, S. D. (2024). On the Simultaneous Computation of Target Inventories and Intervals for Bimodal Bike-Sharing Systems. Transportation Engineering, 16, 100226 (9 pages). Disponible

Cocha, C., Pessoa, B. P. S., Aloise, D., & Cabral, L. A. (2024). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. International Transactions in Operational Research, 31(3), 1720-1735. Disponible

Silva De Oliveira, A. S. (2024). Predictive Power of Large Language Models in Bug Severity Detection: An Explorative Study [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Jeske, M., Sanso, B., Aloise, D., & Nascimento, M. C. V. (2024). Received signal strength indicator prediction for mesh networks in a real urban environment using machine learning. IEEE Access, 12, 165861-165877. Disponible

Pereira, J. H. A., Pessoa, B. J. S., Rocha, C., & Aloise, D. (novembre 2024). Meta-heurística vns aplicada a um problema de sequenciamento justo [Communication écrite]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20). Lien externe

Okano, E. Y., Aloise, D., & Nascimento, M. C. V. (novembre 2024). Topological Analysis of Graphs for Comparing Sets of Time Series: A Case Study with Hospital Data [Communication écrite]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20). Lien externe

Liang, J., Martins Silva, M. C., Aloise, D., & Jena, S. D. (2024). Dynamic rebalancing for Bike-sharing systems under inventory interval and target predictions. EURO Journal on Transportation and Logistics, 13, 19 pages. Lien externe

Pereira, T. C., Aloise, D., & Rancourt, M.-E. (2024). HurricaneLog : a serious game for data colletion and analysis of hurricane preparedness and response operations. (Rapport technique n° CIRRELT-2024-36). Lien externe

Rastgar Amini, F., Aloise, D., Contardo, C., & Desaulniers, G. (juillet 2024). Data Mining-Driven Shift Enumeration for Accelerating the Solution of Large-Scale Personnel Scheduling Problems [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe

2023

Correia Pereira, T. (2023). Innovative Data Collection Framework for Humanitarian Logistics: A Serious Game Solution [Thèse de doctorat, Polytechnique Montréal]. Disponible

Martins Silva, M. C. (2023). Data-Driven Methods for Inventory Management in Dock-Based Bike-Sharing Systems [Thèse de doctorat, Polytechnique Montréal]. Disponible

Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. (Rapport technique n° G-2023-30). Lien externe

Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Towards effective rebalancing of bike-sharing systems with regular and electric bikes. (Rapport technique n° G-2023-31). Lien externe

Moine, R. (2023). Comparaison empirique de deux stratégies de recherche locale [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Fournier, Q., Aloise, D., & Costa, L. R. (2023). Language models for novelty detection in kernel traces [Ensemble de données]. Lien externe

Jeske, M., Nascimento, M. C. V., Aloise, D., & Sanso, B. (novembre 2023). Path loss prediction for mesh networks in a real urban environment using machine learning [Présentation]. Dans Simpósio Brasileiro de Pesquisa Operacional 2023, São José dos Campos, SP, Brasil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 55. Lien externe

Fournier, Q., Caron, G. M., & Aloise, D. (2023). A Practical Survey on Faster and Lighter Transformers. ACM Computing Surveys, 55(14s), 1-40. Lien externe

Gomes Ferreira Bertalan, V., & Aloise, D. (octobre 2023). Using Transformer Models and Textual Analysis for Log Parsing [Communication écrite]. 34th International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy. Lien externe

Randel, R., Aloise, D., & Hertz, A. (avril 2023). A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation [Communication écrite]. SIAM International Conference on Data Mining (SDM 2023), Minneapolis, MN, USA. Lien externe

Rastgar-Amini, F., Aloise, D., Contardo, C., & Desaulniers, G. (2023). Data mining-driven shift enumeration for acceleratiing the solution of large-scale personnel scheduling problems. (Rapport technique n° G-2023-61). Lien externe

2022

Fournier, Q. (2022). Machine Learning for Anomaly Detection in Kernel Traces [Thèse de doctorat, Polytechnique Montréal]. Disponible

Aber Aouni, A. (2022). Utilisation d'un espace latent pour une déduplication de bogues rapide [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Courtade, E. (2022). Importance des variables et régressions statistiques imitant l'heuristique de branchement fort dans un problème de rotation d'équipages [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Pereira, P. (2022). Imitation du branchement fort pour les problèmes de rotations d'équipage [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Ton, K., Aloise, D., & Contardo, C. (2022). On removing diverse data for training machine learning models. (Rapport technique n° G-2022-38). Lien externe

Pereira, P., Courtade, E., Aloise, D., Quesnel, F., Soumis, F., & Yaakoubi, Y. (2022). Learning to branch for the crew pairing problem. (Rapport technique n° G-2022-31). Lien externe

Muller Rodrigues, I. (2022). Algorithms and Learning Models for Bug Report Deduplication [Thèse de doctorat, Polytechnique Montréal]. Disponible

Kohyarnejadfard, I. (2022). System Performance Anomaly Detection using Tracing Data Analysis [Thèse de doctorat, Polytechnique Montréal]. Disponible

Muller Rodrigues, I., Khvorov, A., Aloise, D., Vasiliev, R., Koznov, D., Fernandes, E. R., Chernishev, G., Luciv, D., & Povarov, N. (2022). TraceSim: An alignment method for computing stack trace similarity. Empirical Software Engineering, 27, 53 (41 pages). Disponible

Rocha, C., de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2022). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. (Rapport technique n° G-2022-05). Lien externe

Rodrigues, I. M., Khvorov, A., Aloise, D., Vasiliev, R., Koznov, D., Fernandes, E. R., Chernishev, G., Luciv, D., & Povarov, N. (2022). TraceSim: An Alignment Method for Computing Stack Trace Similarity [Ensemble de données]. Lien externe

Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2022). Visual attractiveness in vehicle routing via bi-objective optimization. Computers & Operations Research, 137, 105507 (14 pages). Disponible

Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582. Lien externe

Kohyarnejadfard, I., Aloise, D., Azhari, S. V., & Dagenais, M. (2022). Anomaly detection in microservice environments using distributed tracing data analysis and NLP. Journal of Cloud Computing, 11(1), 16 pages. Lien externe

Rodrigues, I. M., Aloise, D., & Fernandes, E. R. (mai 2022). FaST: A linear time stack trace alignment heuristic for crash report deduplication [Communication écrite]. Mining Software Repositories Conference (MSR 2022), Pittsburgh, PA, USA. Lien externe

Bouchard, I., Rancourt, M.-E., Aloise, D., & Kalaitzis, F. (2022). On transfer learning for building damage assessment from satellite imagery in emergency contexts. Remote Sensing, 14(11), 29 pages. Lien externe

Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (mai 2022). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Communication écrite]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA. Lien externe

2021

Ton, K. (2021). Using a Diversity Criterion to Select Training Sets for Machine Learning Models [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Randel, R., Aloise, D., Blanchard, S. J., & Hertz, A. (2021). A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering. Data Mining and Knowledge Discovery, 35(6), 2341-2368. Disponible

Bouchard, I. (2021). Building Damage Assessment After a Natural Disaster in Emergency Contexts: A Deep Learning Approach [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Alves Randel, R. (2021). Optimization Methods to Enhance Constraint-Based Semi-Supervised Clustering [Thèse de doctorat, Polytechnique Montréal]. Disponible

Rochink Costa, L. (2021). Workload Optimization for Swarm-Powered Ad-hoc Clouds [Thèse de doctorat, Polytechnique Montréal]. Disponible

Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. (Rapport technique n° 2021-09). Lien externe

Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case. IEEE Internet of Things Journal, 8(9), 7316-7332. Lien externe

Fournier, Q., Aloise, D., Azhari, S. V., & Tétreault, F. (mai 2021). On improving deep learning trace analysis with system call arguments [Communication écrite]. 18th IEEE/ACM International Conference on Mining Software Repositories (MSR 2021), Madrid, Spain. Lien externe

Kohyarnejadfard, I., Aloise, D., Dagenais, M., & Shakeri, M. (2021). A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis. Entropy, 23(8), 1011 (24 pages). Lien externe

Randel, R., Aloise, D., & Hertz, A. (2021). Exploring dual information in distance metric learning for clustering. (Rapport technique n° G-2021-32). Lien externe

Silva, A., Aloise, D., Coelho, L. C., & Rocha, C. (2021). Heuristics for the dynamic facility location problem with modular capacities. European Journal of Operational Research, 290(2), 435-452. Lien externe

2020

Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2020). Visual attractiveness in vehicle routing via bi-objective optimization. (Rapport technique n° G-2020-65). Lien externe

Haouas, M. N., Aloise, D., & Pesant, G. (septembre 2020). An exact CP approach for the cardinality-constrained euclidean minimum sum-of-squares clustering problem [Communication écrite]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria. Disponible

Rodrigues, I. M., Aloise, D., Fernandes, E. R., & Dagenais, M. (juin 2020). A soft alignment model for bug deduplication [Communication écrite]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. Lien externe

Heutte, N. (2020). A Divide-and-Conquer Approach to Employee Scheduling [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Moins, T. (2020). Modèle hybride combinant réseau de neurones convolutifs et modèle basé sur le choix pour la recommandation de sièges [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2020). The covering-assignment problem for swarm-powered ad-hoc clouds : a distributed 3D mapping use-case. (Rapport technique n° 2020-28). Lien externe

Haouas, M. N. (2020). Résolution exacte du problème de partitionnement de données avec minimisation de variance sous contraintes de cardinalité par programmation par contraintes [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Pinheiro, D. N., Aloise, D., & Blanchard, S. J. (2020). Convex fuzzy k-medoids clustering. Fuzzy Sets and Systems, 389, 66-92. Lien externe

Pinheiro, D. N., Xavier-de-Souza, S., & Aloise, D. (mai 2020). Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets [Communication écrite]. IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2020), New Orleans, LA, USA. Lien externe

Moins, T., Aloise, D., & Blanchard, S. J. (septembre 2020). RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues [Communication écrite]. 14th ACM Conference on Recommender Systems (RecSys 2020). Lien externe

Gassais, R., Ezzati-Jivan, N., Fernandez, J. M., Aloise, D., & Dagenais, M. (2020). Multi-level host-based intrusion detection system for Internet of things. Journal of Cloud Computing : Advances, Systems and Applications, 9(1), 62 (16 pages). Lien externe

2019

Randel, R., Aloise, D., Blanchard, S., & Hertz, A. (2019). A Lagrangian-based score for assessing the quality of pairwise constraints in SSC. (Rapport technique n° G-2019-96). Lien externe

Boucaud, L. (2019). Mécanismes d'attention pour les modèles convolutifs dans le cadre de la prédiction de trajectoires [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Nobre Pinheiro, D., Aloise, D., & Blanchard, S. (2019). Convex fuzzy k-medoids clustering. (Rapport technique n° G-2019-28). Lien externe

da Costa Silva, A. F., Aloise, D., Coelho, L. C., & Rocha, C. (2019). Heuristics for the dynamic facility location problem with modular capacities. (Rapport technique n° G-2019-29). Lien externe

Džamić, D., Aloise, D., & Mladenović, N. (2019). Ascent–descent variable neighborhood decomposition search for community detection by modularity maximization. Annals of Operations Research, 272(1-2), 273-287. Lien externe

Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (octobre 2018). On the k-Medoids Model for Semi-supervised Clustering [Communication écrite]. 6th International Conference on Variable Neighborhood Search (ICVNS 2018), Sithonia, Greece. Lien externe

Fournier, Q., & Aloise, D. (juin 2019). Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods [Communication écrite]. IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2019), Sardinia, Italy. Lien externe

Fournier, Q., Ezzati-Jivan, N., Aloise, D., & Dagenais, M. (octobre 2019). Automatic cause detection of performance problems in web applications [Communication écrite]. 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany. Lien externe

Kohyarnejadfard, I., Shakeri, M., & Aloise, D. (avril 2019). System performance anomaly detection using tracing data analysis [Communication écrite]. 5th International Conference on Computer and Technology Applications (ICCTA 2019), Istanbul, Turkey. Lien externe

2018

Aloise, D., & Contardo, C. (2018). A sampling-based exact algorithm for the solution of the minimax diameter clustering problem. Journal of Global Optimization, 71(3), 613-630. Disponible

Hulot, P. (2018). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems [Mémoire de maîtrise, École Polytechnique de Montréal]. Disponible

Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (2018). On the k-medoids model for semi-supervised clustering. (Rapport technique n° G-2018-23). Lien externe

Pessoa, B. J. S., Cabral, L. A. F., & Aloise, D. (août 2018). Meta-heurística híbrida aplicada ao Problema das Sequências Justas Ponderadas [Communication écrite]. Simpósio Brasileiro de Pesquisa Operacional, Rio de Janeiro, Brazil (12 pages). Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional. Lien externe

Hulot, P., Aloise, D., & Jena, S. D. (août 2018). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems [Communication écrite]. 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK. Lien externe

Gonçalves-e-Silva, K., Aloise, D., Xavier-de-Souza, S., & Mladenović, N. (2018). Less is more: simplified Nelder-Mead method for large unconstrained optimization. Yugoslav Journal of Operations Research, 28(2), 153-169. Disponible

de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2018). The weighted fair sequences problem. Computers & Operations Research, 91, 121-131. Lien externe

Da Silva, T. G., De Sousa Filho, G. F., Barbosa, I. A. M., Mladenovic, N., Cabral, L. A. F., Ochi, L. S., & Aloise, D. (2018). Efficient heuristics for the minimum labeling global cut problem. Electronic Notes in Discrete Mathematics, 66, 23-30. Lien externe

Gonçalves-e-Silva, K., Aloise, D., & Xavier-de-Souza, S. (2018). Parallel synchronous and asynchronous coupled simulated annealing. Journal of Supercomputing, 74(6), 2841-2869. Lien externe

Pereira, T., Aloise, D., Brimberg, J., & Mladenović, N. (2018). Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem. Dans Pardalos, P. M., & Migdalas, A. (édit.), Open Problems in Optimization and Data Analysis (Vol. 141, p. 249-270). Lien externe

2017

de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2017). The carousel scheduling problem. (Rapport technique n° G-2017-37). Lien externe

Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2017). A bi-objective vehicle routing problem integrating routing operations into tactical clustering decisions. (Rapport technique n° G-2017-30). Lien externe

Pyatkin, A., Aloise, D., & Mladenović, N. (2017). NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognition Letters, 97, 44-45. Lien externe

Costa, L. R., Aloise, D., & Mladenovi, N. (2017). Less is more: basic variable neighborhood search heuristic for balanced minimum sum-of-squares clustering. Information Sciences, 415-416, 247-253. Lien externe

Mariz, F. B. A. R., Almeida, M. R., & Aloise, D. (2017). A review of Dynamic Data Envelopment Analysis: state of the art and applications. International Transactions in Operational Research, 25(2), 469-505. Lien externe

Blanchard, S. J., Aloise, D., & DeSarbo, W. S. (2017). Extracting Summary Piles from Sorting Task Data. Journal of Marketing Research, 54(3), 398-414. Lien externe

Aloise, D., Damasceno, N. C., Mladenović, N., & Pinheiro, D. N. (2017). On strategies to fix degenerate k-means solutions. Journal of Classification, 34(2), 165-190. Lien externe

2016

Costa, L. R., Aloise, D., & Mladenović, N. (2016). Less is more approach for balanced minimum sum-of-squares clustering. (Rapport technique n° G-2016-80). Lien externe

Pyatkin, A., Aloise, D., & Mladenović, N. (2016). NP-hardness of balanced minimum sum-of-squares clustering. (Rapport technique n° G-2016-79). Lien externe

Aloise, D., Damasceno, N. C., Mladenović, N., & Nobre Pinheiro, D. (2016). On strategies to fix degenerate k-means solutions. (Rapport technique n° G-2016-81). Lien externe

Džamić, D., Aloise, D., & Mladenović, N. (2016). Ascent — Descent Variable Neighborhood Decomposition search for community detection by modularity maximization. (Rapport technique n° G-2016-35). Lien externe

Santi, É., Aloise, D., & Blanchard, S. J. (2016). A model for clustering data from heterogeneous dissimilarities. European Journal of Operational Research, 253(3), 659-672. Lien externe

2015

Aloise, D., & Contardo, C. (2015). An iterative algorithm for the solution of very large-scale diameter clustering problems. (Rapport technique n° G-2015-140). Lien externe

Santi, É., Aloise, D., & Blanchard, S. (2015). A model for clustering data from heterogeneous subjects. (Rapport technique n° G-2015-18). Lien externe

2014

Aloise, D., & Araujo, A. (2014). A derivative‐free algorithm for refining numerical microaggregation solutions. International Transactions in Operational Research, 22(4), 693-712. Lien externe

Robson Monte Fernandes, D., Rocha, C., Aloise, D., Ribeiro, G. M., Santos, E. M., & Silva, A. (2014). A simple and effective genetic algorithm for the two-stage capacitated facility location problem. Computers & Industrial Engineering, 75, 200-208. Lien externe

Queiroz dos Santos, J. P., Dantas de Melo, J., Duarte Neto, A. D., & Aloise, D. (2014). Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search. Expert Systems with Applications, 41(10), 4939-4949. Lien externe

Fernandes, I. F., Aloise, D., Aloise, D. J., Hansen, P., & Liberti, L. (2014). On the Weber facility location problem with limited distances and side constraints. Optimization Letters, 8(2), 407-424. Lien externe

Aloise, D., Hansen, P., Rocha, C., & Santi, É. (2014). Column generation bounds for numerical microaggregation. Journal of Global Optimization, 60(2), 165-182. Lien externe

2012

Hansen, P., Ruiz Marín, M., & Aloise, D. (2012). A VNS heuristic for escaping local extrema entrapment in normalized cut clustering. Pattern Recognition, 45(12), 4337-4345. Lien externe

Aloise, D., Caporossi, G., Hansen, P., Liberti, L., Perron, S., & Ruiz, M. (février 2012). Modularity maximization in networks by variable neighborhood search [Communication écrite]. 10th DIMACS Implementation Challenge Workshop, Atlanta, GA, USA (14 pages). Lien externe

Aloise, D., Hansen, P., & Liberti, L. (2012). An improved column generation algorithm for minimum sum-of-squares clustering. Mathematical Programming, 131(1), 195-220. Lien externe

2011

Aloise, D., Caporossi, G., Hansen, P., Liberti, L., Perron, S., & Ruiz, M. (2011). Modularity Maximization in Networks by Variable Neighborhood Search. (Rapport technique n° G-2011-59). Lien externe

Fernandes, I. F., Aloise, D., Aloise, D. J., Hansen, P., & Liberti, L. (2011). On the Weber Facility Location Problem with Limited Distances and Side Constraints. (Rapport technique n° G-2011-18). Lien externe

Aloise, D., & Hansen, P. (2011). Evaluating a branch-and-bound RLT-based algorithm for minimum sum-of-squares clustering. Journal of Global Optimization, 49(3), 449-465. Lien externe

2010

Aloise, D., Cafieri, S., Caporossi, G., Hansen, P., Perron, S., & Liberti, L. (2010). Column generation algorithms for exact modularity maximization in networks. Physical Review E, 82(4), 046112 (9 pages). Lien externe

Hansen, P., Ruiz, M., & Aloise, D. (2010). A Variable Neighborhood Search Heuristic for Normalized Cut Clustering. (Rapport technique n° G-2010-48). Lien externe

Aloise, D., Cafieri, S., Caporossi, G., Hansen, P., Liberti, L., & Perron, S. (2010). Column Generation Algorithms for Exact Modularity Maximization in Networks. (Rapport technique n° G-2010-36). Lien externe

Aloise, D., & Ribeiro, C. C. (2010). Adaptive memory in multistart heuristics formulticommodity network design. Journal of Heuristics, 17(2), 153-179. Lien externe

2009

Aloise, D., & Hansen, P. (2009). A branch-and-cut SDP-based algorithm for minimum sum-of-squares clustering. Pesquisa Operacional, 29(3), 503-516. Disponible

Aloise, D., Hansen, P., & Liberti, L. (2009). An Improved Column Generation Algorithm for Minimum Sum-of-squares Clustering. (Rapport technique n° G-2009-25). Lien externe

Aloise, D., & Ribeiro, C. C. (2009). Exploring Adaptive Memory and Vocabulary Building to Improve a Multistart Heuristic for a Multicommodity Network Design Problem. (Rapport technique n° G-2009-09). Lien externe

Aloise, D., Deshpande, A., Hansen, P., & Popat, P. (2009). NP-hardness of Euclidean sum-of-squares clustering. Machine Learning, 75(2), 245-248. Lien externe

Aloise, D. (2009). Exact algorithms for minimum sum-of-squares clustering [Thèse de doctorat, École Polytechnique de Montréal]. Disponible

2008

Aloise, D., & Hansen, P. (2008). A Branch-and-Cut SDP-Based Algorithm for Minimum Sum-of-Squares Clustering. (Rapport technique n° G-2008-40). Lien externe

Aloise, D., Deshpande, A., Hansen, P., & Popat, P. (2008). NP-Hardness of Euclidean Sum-of-Squares Clustering. (Rapport technique n° G-2008-33). Lien externe

Aloise, D., & Hansen, P. (2008). Clustering - A Chapter for Handbook of Discrete and Combinatorial Optimization. (Rapport technique n° G-2008-34). Lien externe

Aloise, D., & Hansen, P. (2008). Evaluating a Branch-and-Bound RLT-Based Algorithm for Minimum Sum-of-Squares Clustering. (Rapport technique n° G-2008-26). Lien externe

2007

Aloise, D., & Hansen, P. (2007). On the Complexity of Minimum Sum-of-Squares Clustering. (Rapport technique n° G-2007-50). Lien externe

Ribeiro, C. C., Aloise, D., Noronha, T. F., Rocha, C., & Urrutia, S. (2007). A hybrid heuristic for a multi-objective real-life car sequencing problem with painting and assembly line constraints. European Journal of Operational Research, 191(3), 981-992. Lien externe

Ribeiro, C. C., Aloise, D., Noronha, T. F., Rocha, C., & Urrutia, S. (2007). An efficient implementation of a VNS/ILS heuristic for a real-life car sequencing problem. European Journal of Operational Research, 191(3), 596-611. Lien externe

2005

José Aloise, D., Aloise, D., Rocha, C., Ribeiro, C. C., Ribeiro Filho, J. C., & Moura, L. S. S. (2005). Scheduling workover rigs for onshore oil production. Discrete Applied Mathematics, 154(5), 695-702. Lien externe

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