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ORCIDSergio Consoli
Person information
- affiliation: European Commission, Joint Research Centre (DG JRC), Brussels, Belgium
- affiliation (former): Philips Research, Eindhoven, The Netherlands
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2020 – today
- 2024
[j28]Simone Angioni
, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino:
Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access 12: 77269-77283 (2024)- [c44]Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino:
Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. SemTech4STLD@ESWC 2024: 49-60 - [c43]Vanni Zavarella, Diego Reforgiato Recupero, Sergio Consoli, Gianni Fenu:
Charting the Landscape of Digital Health: Towards A Knowledge Graph Approach to News Media Analysis. UMAP (Adjunct Publication) 2024 - [i19]Luca Barbaglia, Sergio Consoli, Sebastiano Manzan:
Forecasting GDP in Europe with Textual Data. CoRR abs/2401.07179 (2024) - [i18]Sergio Consoli, Valentina Alberti, Cinzia Cocco, Francesco Panella, Valentina Montalto:
Cultural gems linked open data: Mapping culture and intangible heritage in European cities. CoRR abs/2402.07335 (2024) - [i17]Oscar Araque, Luca Barbaglia, Francesco Berlingieri, Marco Colagrossi, Sergio Consoli, Lorenzo Gatti, Caterina Mauri, Kyriaki Kalimeri:
Beyond the Headlines: Understanding Sentiments and Morals Impacting Female Employment in Spain. CoRR abs/2402.07339 (2024) - [i16]Valentina Alberti, Cinzia Cocco, Sergio Consoli, Valentina Montalto, Francesco Panella:
Ontology Engineering to Model the European Cultural Heritage: The Case of Cultural Gems. CoRR abs/2402.07351 (2024) - 2023
- [j27]Golshid Ranjbaran, Diego Reforgiato Recupero, Gianfranco Lombardo, Sergio Consoli:
Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach. EPJ Data Sci. 12(1): 24 (2023) - 2022
- [j26]Salvatore M. Carta, Sergio Consoli, Alessandro Giuliani, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence. IEEE Access 10: 127328-127344 (2022) - [j25]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Statistical arbitrage powered by Explainable Artificial Intelligence. Expert Syst. Appl. 206: 117763 (2022) - [j24]Sergio Consoli, Luca Barbaglia, Sebastiano Manzan:
Fine-grained, aspect-based sentiment analysis on economic and financial lexicon. Knowl. Based Syst. 247: 108781 (2022) - [j23]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
An eXplainable Artificial Intelligence tool for statistical arbitrage. Softw. Impacts 14: 100354 (2022) - [c42]Sergio Consoli, José Andrés Moreno-Pérez:
Evaluating the Effects of Chaos in Variable Neighbourhood Search. MIC 2022: 200-214 - [c41]Marco Colagrossi, Sergio Consoli, Francesco Panella, Luca Barbaglia:
Tracking socio-economic activities in European countries with unconventional data. GoodIT 2022: 323-330 - [c40]Sergio Consoli, Marco Colagrossi, Francesco Panella, Luca Barbaglia:
On the Development of a European Tracker of Societal Issues and Economic Activities Using Alternative Data. PKDD/ECML Workshops (2) 2022: 38-43 - [i15]Sergio Consoli, Luca Tiozzo Pezzoli, Elisa Tosetti:
Neural Forecasting of the Italian Sovereign Bond Market with Economic News. CoRR abs/2203.07071 (2022) - [i14]Luca Barbaglia, Sergio Consoli, Sebastiano Manzan:
Forecasting with Economic News. CoRR abs/2203.15686 (2022) - 2021
- [j22]Salvatore M. Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage. IEEE Access 9: 29942-29959 (2021) - [j21]Salvatore M. Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting. IEEE Access 9: 30193-30205 (2021) - [j20]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Event detection in finance using hierarchical clustering algorithms on news and tweets. PeerJ Comput. Sci. 7: e438 (2021) - [c39]Sergio Consoli, Luca Barbaglia, Sebastiano Manzan:
Explaining Sentiment from Lexicon. DeepOntoNLP/X-SENTIMENT@ESWC 2021: 87-95 - [c38]Simone Angioni, Salvatore Carta, Sergio Consoli, Diego Reforgiato Recupero, Maria Madalina Stanciu:
A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction. ICFNDS 2021: 616-624 - [c37]Sergio Consoli, Domenico Perrotta, Marco Turchi:
Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data. ICVNS 2021: 83-98 - [c36]Sergio Consoli, Matteo Negri, Amirhossein Tebbifakhr, Elisa Tosetti, Marco Turchi:
Forecasting the IBEX-35 Stock Index Using Deep Learning and News Emotions. LOD 2021: 308-323 - [c35]Luca Barbaglia, Sergio Consoli, Susan Wang:
Financial Forecasting with Word Embeddings Extracted from News: A Preliminary Analysis. PKDD/ECML Workshops (2) 2021: 179-188 - [c34]Sergio Consoli, Matteo Negri, Amirhossein Tebbifakhr, Elisa Tosetti, Marco Turchi:
On Neural Forecasting and News Emotions: The Case of the Spanish Stock Market. PKDD/ECML Workshops (2) 2021: 189-194 - [i13]Sergio Consoli, Luca Tiozzo Pezzoli, Elisa Tosetti:
Emotions in Macroeconomic News and their Impact on the European Bond Market. CoRR abs/2106.15698 (2021) - 2020
- [j19]Sergio Consoli, Jan H. M. Korst, Steffen Pauws, Gijs Geleijnse:
Improved metaheuristics for the quartet method of hierarchical clustering. J. Glob. Optim. 78(2): 241-270 (2020) - [c33]Sergio Consoli, Luca Barbaglia, Sebastiano Manzan:
Fine-grained, aspect-based semantic sentiment analysis within the economic and financial domains. CogMI 2020: 52-61 - [c32]Salvatore Carta, Sergio Consoli, Andrea Corriga, Raffaele Dapiaggi, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting. ICFNDS 2020: 46:1-46:6 - [c31]Sergio Consoli, Diego Reforgiato Recupero, Daniele Riboni:
SmartPHIL: 1st Workshop on Smart Personal Health Interfaces. IUI Companion 2020: 5-6 - [c30]Sergio Consoli, Danilo Dessì, Gianni Fenu, Mirko Marras:
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. SmartPhil@IUI 2020: 33-49 - [c29]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast. LOD (1) 2020: 162-176 - [c28]Sergio Consoli, Luca Tiozzo Pezzoli, Elisa Tosetti:
Using the GDELT Dataset to Analyse the Italian Sovereign Bond Market. LOD (1) 2020: 190-202 - [c27]Sergio Consoli, Luca Tiozzo Pezzoli, Elisa Tosetti:
Information Extraction From the GDELT Database to Analyse EU Sovereign Bond Markets. MIDAS@PKDD/ECML 2020: 55-67 - [c26]Luca Barbaglia, Sergio Consoli, Sebastiano Manzan:
Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting. MIDAS@PKDD/ECML 2020: 135-149 - [c25]Sergio Consoli, Kees Wouters, Renée A. Otte, Adrienne Heinrich:
A Newborn Development Insights Mining and Recommendation System from Scientific Literature and Clinical Guidelines. SWH@ISWC 2020: 30-41 - [e2]Sergio Consoli, Diego Reforgiato Recupero, Daniele Riboni:
Proceedings of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces, SmartPhil@IUI 2020, Cagliari, Italy, March 17, 2020. CEUR Workshop Proceedings 2596, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j18]Sergio Consoli, Jan H. M. Korst, Gijs Geleijnse, Steffen Pauws:
An exact algorithm for the minimum quartet tree cost problem. 4OR 17(4): 401-425 (2019) - [c24]Luca Barbaglia, Sergio Consoli, Sebastiano Manzan:
Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News. MIDAS@PKDD 2019: 101-106 - [c23]Luca Tiozzo Pezzoli, Sergio Consoli, Elisa Tosetti:
Big Data Financial Sentiment Analysis in the European Bond Markets. MIDAS@PKDD 2019: 122-126 - [p5]Ziawasch Abedjan, Nozha Boujemaa, Stuart Campbell, Patricia Casla, Supriyo Chatterjea, Sergio Consoli, Cristóbal Costa Soria, Paul Czech, Marija Despenic, Chiara Garattini, Dirk Hamelinck, Adrienne Heinrich, Wessel Kraaij, Jacek Kustra, Aizea Lojo, Marga Martin Sanchez, Miguel Angel Mayer, Matteo Melideo, Ernestina Menasalvas, Frank Møller Aarestrup, Elvira Narro Artigot, Milan Petkovic, Diego Reforgiato Recupero, Alejandro Rodríguez González, Gisele Roesems Kerremans, Roland Roller, Mário Romão, Stefan Rüping, Felix Sasaki, Wouter Spek, Nenad Stojanovic, Jack Thoms, Andrejs Vasiljevs, Wilfried Verachtert, Roel Wuyts:
Data Science in Healthcare: Benefits, Challenges and Opportunities. Data Science for Healthcare 2019: 3-38 - [p4]Jan H. M. Korst, Verus Pronk, Mauro Barbieri, Sergio Consoli:
Introduction to Classification Algorithms and Their Performance Analysis Using Medical Examples. Data Science for Healthcare 2019: 39-73 - [p3]Monique Hendriks, Charalampos Xanthopoulakis, Pieter C. Vos, Sergio Consoli, Jacek Kustra:
Data Visualization in Clinical Practice. Data Science for Healthcare 2019: 289-304 - [p2]Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli:
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics. Machine Learning Paradigms 2019: 7-30 - [e1]Sergio Consoli, Diego Reforgiato Recupero, Milan Petkovic:
Data Science for Healthcare - Methodologies and Applications. Springer 2019, ISBN 978-3-030-05248-5 [contents] - [i12]Marijn van Knippenberg, Vlado Menkovski, Sergio Consoli:
Evolutionary Construction of Convolutional Neural Networks. CoRR abs/1903.01895 (2019) - [i11]Michael van Hartskamp, Sergio Consoli, Wim Verhaegh, Milan Petkovic, Anja van de Stolpe:
Artificial Intelligence in Clinical Health Care Applications: Viewpoint. CoRR abs/1906.02090 (2019) - 2018
- [c22]Sergio Consoli, Jan H. M. Korst, Steffen Pauws, Gijs Geleijnse:
Improved Variable Neighbourhood Search Heuristic for Quartet Clustering. ICVNS 2018: 1-12 - [c21]Ilyas Chaoua, Sergio Consoli, Aki Härmä, Rim Helaoui, Diego Reforgiato Recupero:
Analysis of Topic Propagation in Therapy Sessions Using Partially Labeled Latent Dirichlet Allocation. AIH@IJCAI (Revised Selected Papers) 2018: 59-75 - [c20]Ilyas Chaoua, Diego Reforgiato Recupero, Sergio Consoli, Aki Härmä, Rim Helaoui:
Detecting and tracking ongoing topics in psychotherapeutic conversations. AIH@IJCAI 2018: 97-108 - [c19]Marijn van Knippenberg, Vlado Menkovski, Sergio Consoli:
Evolutionary Construction of Convolutional Neural Networks. LOD 2018: 293-304 - [c18]Sergio Consoli, Monique Hendriks, Pieter C. Vos, Jacek Kustra, Dimitrios Mavroeidis, Ralf Hoffmann:
Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights. LOD 2018: 305-316 - [i10]Sergio Consoli, Jan H. M. Korst, Gijs Geleijnse, Steffen Pauws:
On the minimum quartet tree cost problem. CoRR abs/1807.00566 (2018) - [i9]José Andrés Moreno-Pérez, Sergio Consoli:
Minimum Labelling bi-Connectivity. CoRR abs/1807.00570 (2018) - 2017
- [j17]Sergio Consoli, Valentina Presutti, Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Silvio Peroni, Misael Mongiovì, Aldo Gangemi:
Producing Linked Data for Smart Cities: The Case of Catania. Big Data Res. 7: 1-15 (2017) - [j16]Sergio Consoli, Nikolaos I. Stilianakis:
A quartet method based on variable neighborhood search for biomedical literature extraction and clustering. Int. Trans. Oper. Res. 24(3): 537-558 (2017) - [j15]Sergio Consoli, José Andrés Moreno-Pérez, Nenad Mladenovic:
Comparison of metaheuristics for the k-labeled spanning forest problem. Int. Trans. Oper. Res. 24(3): 559-582 (2017) - [c17]Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli:
Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering. SeWeBMeDA@ESWC 2017: 20-34 - [c16]Sergio Consoli, Xiao Ming Zhou, Wei Shun Bao, Declan P. Kelly, Vincent Lou:
Semantic Mining of Respiratory Health Knowledge from Scientific Literature. SEMANTiCS (Posters & Demos) 2017 - [c15]Sergio Consoli, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis:
Improving Support Vector Machines Performance Using Local Search. MOD 2017: 16-28 - [i8]Sergio Consoli, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis:
Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines. CoRR abs/1707.03191 (2017) - 2016
- [j14]Sergio Consoli, Marco Turchi, Domenico Perrotta:
A local search approach for generating directional data. Intell. Data Anal. 20(2): 439-453 (2016) - [j13]Misael Mongiovì, Diego Reforgiato Recupero, Aldo Gangemi, Valentina Presutti, Sergio Consoli:
Merging open knowledge extracted from text with MERGILO. Knowl. Based Syst. 108: 155-167 (2016) - [j12]Valentina Presutti, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi, Diego Reforgiato Recupero:
From hyperlinks to Semantic Web properties using Open Knowledge Extraction. Semantic Web 7(4): 351-378 (2016) - [i7]Diego Reforgiato Recupero, Mario Castronovo, Sergio Consoli, Tarcisio Costanzo, Aldo Gangemi, Luigi Grasso, Giorgia Lodi, Gianluca Merendino, Misael Mongiovì, Valentina Presutti, Salvatore Davide Rapisarda, Salvo Rosa, Emanuele Spampinato:
An Innovative, Open, Interoperable Citizen Engagement Cloud Platform for Smart Government and Users' Interaction. CoRR abs/1605.07343 (2016) - 2015
- [j11]Sergio Consoli, Nenad Mladenovic, José A. Moreno-Pérez:
Solving the minimum labelling spanning tree problem by intelligent optimization. Appl. Soft Comput. 28: 440-452 (2015) - [j10]Diego Reforgiato Recupero, Valentina Presutti, Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese:
Sentilo: Frame-Based Sentiment Analysis. Cogn. Comput. 7(2): 211-225 (2015) - [j9]Sergio Consoli, Nikolaos I. Stilianakis:
A VNS-based quartet algorithm for biomedical literature clustering. Electron. Notes Discret. Math. 47: 13-20 (2015) - [j8]Sergio Consoli, José Andrés Moreno-Pérez:
Variable neighbourhood search for the k-labelled spanning forest problem. Electron. Notes Discret. Math. 47: 29-36 (2015) - [c14]Sergio Consoli, Diego Reforgiato Recupero:
Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base Population. SemWebEval@ESWC 2015: 40-50 - [c13]Misael Mongiovì, Diego Reforgiato Recupero, Aldo Gangemi, Valentina Presutti, Andrea Giovanni Nuzzolese, Sergio Consoli:
Semantic reconciliation of knowledge extracted from text through a novel machine reader. K-CAP 2015: 25:1-25:4 - [c12]Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Valentina Presutti, Misael Mongiovì, Silvio Peroni:
Extracting knowledge from text using SHELDON, a Semantic Holistic framEwork for LinkeD ONtology data. WWW (Companion Volume) 2015: 235-238 - [c11]Sergio Consoli, Diego Reforgiato Recupero, Misael Mongiovì, Valentina Presutti, Gianni Cataldi, Wladimiro Patatu:
An Urban Fault Reporting and Management Platform for Smart Cities. WWW (Companion Volume) 2015: 535-540 - [c10]Sergio Consoli, Misael Mongiovì, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Diego Reforgiato Recupero, Daria Spampinato:
A Smart City Data Model based on Semantics Best Practice and Principles. WWW (Companion Volume) 2015: 1395-1400 - [i6]Sergio Consoli, Nenad Mladenovic, José A. Moreno-Pérez:
BVNS para el problema del bosque generador k-etiquetado. CoRR abs/1503.01376 (2015) - [i5]Sergio Consoli, José Andrés Moreno-Pérez, Nenad Mladenovic:
Towards an intelligent VNS heuristic for the k-labelled spanning forest problem. CoRR abs/1503.02009 (2015) - [i4]José A. Moreno-Pérez, Sergio Consoli:
On the Minimum Labelling Spanning bi-Connected Subgraph problem. CoRR abs/1505.01742 (2015) - [i3]Sergio Consoli, José Andrés Moreno-Pérez:
An intelligent extension of Variable Neighbourhood Search for labelling graph problems. CoRR abs/1509.08792 (2015) - 2014
- [c9]Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi, Valentina Presutti:
SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data. EKAW (Satellite Events) 2014: 136-139 - [c8]Sergio Consoli, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero, Aldo Gangemi:
Legalo: Revealing the Semantics of Links. EKAW (Satellite Events) 2014: 140-144 - [c7]Valentina Presutti, Sergio Consoli, Andrea Giovanni Nuzzolese, Diego Reforgiato Recupero, Aldo Gangemi, Ines Bannour, Haïfa Zargayouna:
Uncovering the Semantics of Wikipedia Pagelinks. EKAW 2014: 413-428 - [c6]Diego Reforgiato Recupero, Aldo Gangemi, Andrea Giovanni Nuzzolese, Sergio Consoli, Daria Spampinato, Valentina Presutti:
Semantic Web-based Sentiment Analysis. SSA-SMILE@ESWC 2014: 25-28 - [c5]Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Diego Reforgiato Recupero, Daria Spampinato:
Towards emergency vehicle routing using Geolinked Open Data: the case study of the Municipality of Catania. SSA-SMILE@ESWC 2014: 31-42 - [c4]Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Diego Reforgiato Recupero, Daria Spampinato:
Setting the Course of Emergency Vehicle Routing Using Geolinked Open Data for the Municipality of Catania. ESWC (Satellite Events) 2014: 42-53 - [c3]Diego Reforgiato Recupero, Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Daria Spampinato:
A Semantic Web Based Core Engine to Efficiently Perform Sentiment Analysis. ESWC (Satellite Events) 2014: 245-248 - [c2]Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Diego Reforgiato Recupero, Daria Spampinato:
Geolinked Open Data for the Municipality of Catania. WIMS 2014: 58:1-58:8 - [i2]Sergio Consoli, Diego Reforgiato Recupero, Vanni Zavarella:
A survey on tidal analysis and forecasting methods for Tsunami detection. CoRR abs/1403.0135 (2014) - [i1]Sergio Consoli, José Andrés Moreno-Pérez, Kenneth Darby-Dowman, Nenad Mladenovic:
Mejora de la exploracion y la explotacion de las heuristicas constructivas para el MLSTP. CoRR abs/1405.1980 (2014) - 2013
- [j7]Sergio Consoli, José Andrés Moreno-Pérez, Nenad Mladenovic:
Intelligent variable neighbourhood search for the minimum labelling spanning tree problem. Electron. Notes Discret. Math. 41: 399-406 (2013) - [c1]Sergio Consoli, José Andrés Moreno-Pérez, Nenad Mladenovic:
Intelligent Optimization for the Minimum Labelling Spanning Tree Problem. LION 2013: 19-23 - 2012
- [j6]Sergio Consoli:
The development and application of metaheuristics for problems in graph theory: a computational study. 4OR 10(3): 319-320 (2012) - [j5]Sergio Consoli, José A. Moreno-Pérez:
Solving the minimum labelling spanning tree problem using hybrid local search. Electron. Notes Discret. Math. 39: 75-82 (2012) - 2010
- [j4]Sergio Consoli, José Andrés Moreno-Pérez, Kenneth Darby-Dowman, Nenad Mladenovic:
Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem. Nat. Comput. 9(1): 29-46 (2010) - [j3]Sergio Consoli, Kenneth Darby-Dowman, Gijs Geleijnse, Jan H. M. Korst, Steffen Pauws:
Heuristic Approaches for the Quartet Method of Hierarchical Clustering. IEEE Trans. Knowl. Data Eng. 22(10): 1428-1443 (2010)
2000 – 2009
- 2009
- [j2]Sergio Consoli, Ken Darby-Dowman, Nenad Mladenovic, José A. Moreno-Pérez:
Variable neighbourhood search for the minimum labelling Steiner tree problem. Ann. Oper. Res. 172(1): 71-96 (2009) - [j1]Sergio Consoli, Ken Darby-Dowman, Nenad Mladenovic, José A. Moreno-Pérez:
Greedy Randomized Adaptive Search and Variable Neighbourhood Search for the minimum labelling spanning tree problem. Eur. J. Oper. Res. 196(2): 440-449 (2009) - 2007
- [p1]Sergio Consoli, José A. Moreno-Pérez, Ken Darby-Dowman, Nenad Mladenovic:
Discrete Particle Swarm Optimization for the Minimum Labelling Steiner Tree Problem. NICSO 2007: 313-322
Coauthor Index
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