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2020 – today
- 2025
[j25]Paola Festa, Luca Di Gaspero, Mario Pavone, Mauricio G. C. Resende:
Preface to the Special Issue on Metaheuristics: Recent Advances and Applications. Int. Trans. Oper. Res. 32(1): 5 (2025)- 2024
- [j24]Claudia Cavallaro
, Carolina Crespi, Vincenzo Cutello, Mario Pavone, Francesco Zito:
Group Dynamics in Memory-Enhanced Ant Colonies: The Influence of Colony Division on a Maze Navigation Problem. Algorithms 17(2): 63 (2024) - [j23]Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, Francesco Zito:
Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques. Frontiers Big Data 6 (2024) - [j22]Claudia Cavallaro, Vincenzo Cutello, Mario Pavone:
Efficient heuristics to compute minimal and stable feedback arc sets. J. Comb. Optim. 48(4): 30 (2024) - [j21]Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, Francesco Zito:
Machine Learning and Genetic Algorithms: A case study on image reconstruction. Knowl. Based Syst. 284: 111194 (2024) - [j20]Vincenzo Cutello, Mario Pavone, Francesco Zito:
Improving an immune-inspired algorithm by linear regression: A case study on network reliability. Knowl. Based Syst. 299: 112034 (2024) - [j19]Murat Aslan, Mario Pavone:
MBVS: a modified binary vortex search algorithm for solving uncapacitated facility location problem. Neural Comput. Appl. 36(5): 2573-2595 (2024) - [c43]Francesco Zito, Vincenzo Cutello, Mario Pavone:
A General-Purpose Neural Architecture Search Algorithm for Building Deep Neural Networks. MIC (2) 2024: 126-141 - [c42]Vincenzo Cutello, Mario Pavone, Francesco Zito:
Inferring a Gene Regulatory Network from Gene Expression Data. An Overview of Best Methods and a Reverse Engineering Approach. From Computational Logic to Computational Biology 2024: 172-185 - 2023
- [j18]Carolina Crespi, Rocco A. Scollo, Georgia Fargetta, Mario Pavone:
A sensitivity analysis of parameters in an agent-based model for crowd simulations. Appl. Soft Comput. 146: 110684 (2023) - [j17]Francesco Zito, Vincenzo Cutello, Mario Pavone:
A Machine Learning Approach to Simulate Gene Expression and Infer Gene Regulatory Networks. Entropy 25(8): 1214 (2023) - [j16]Rocco A. Scollo, Antonio Gianmaria Spampinato, Georgia Fargetta, Vincenzo Cutello, Mario Pavone:
Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm. Informatics 10(1): 18 (2023) - [j15]Marcelo Rodrigues de Holanda Maia, Miguel Reula, Consuelo Parreño-Torres, Prem Prakash Vuppuluri, Alexandre Plastino, Uéverton S. Souza, Sara Ceschia, Mario Pavone, Andrea Schaerf:
Metaheuristic techniques for the capacitated facility location problem with customer incompatibilities. Soft Comput. 27(8): 4685-4698 (2023) - [j14]Antonio Gianmaria Spampinato, Rocco A. Scollo, Vincenzo Cutello, Mario Pavone:
Random search immune algorithm for community detection. Soft Comput. 27(12): 8061-8090 (2023) - [c41]Claudia Cavallaro, Vincenzo Cutello, Mario Pavone:
Effective Heuristics for Finding Small Minimal Feedback Arc Set Even for Large Graphs. itaDATA 2023 - [c40]Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, Francesco Zito:
A Fast Methodology to Find Decisively Strong Association Rules (DSR) by Mining Datasets of Security Records. OLA 2023: 315-326 - [c39]Francesco Zito, Vincenzo Cutello, Mario Pavone:
Deep Learning and Metaheuristic for Multivariate Time-Series Forecasting. SOCO (1) 2023: 249-258 - [c38]Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, Francesco Zito:
A Tabu Search Algorithm for the Map Labeling Problem. WIVACE 2023: 16-28 - [e10]Luca Di Gaspero, Paola Festa, Amir Nakib, Mario Pavone:
Metaheuristics - 14th International Conference, MIC 2022, Syracuse, Italy, July 11-14, 2022, Proceedings. Lecture Notes in Computer Science 13838, Springer 2023, ISBN 978-3-031-26503-7 [contents] - 2022
- [c37]Carolina Crespi, Georgia Fargetta, Mario Pavone, Rocco A. Scollo:
An Agent-Based Model to Investigate Different Behaviours in a Crowd Simulation. BIOMA 2022: 1-14 - [c36]Francesco Zito, Vincenzo Cutello, Mario Pavone:
Optimizing Multi-variable Time Series Forecasting Using Metaheuristics. MIC 2022: 103-117 - [c35]Carolina Crespi, Rocco A. Scollo, Georgia Fargetta, Mario Pavone:
How a Different Ant Behavior Affects on the Performance of the Whole Colony. MIC 2022: 187-199 - [c34]Guido Bordonaro, Rocco A. Scollo, Vincenzo Cutello, Mario Pavone:
A Comparative Analysis of Different Multilevel Approaches for Community Detection. MIC 2022: 230-245 - [c33]Francesco Zito, Vincenzo Cutello, Mario Pavone:
A Novel Reverse Engineering Approach for Gene Regulatory Networks. COMPLEX NETWORKS (1) 2022: 310-321 - [c32]Carolina Crespi, Georgia Fargetta, Mario Pavone, Rocco A. Scollo:
An Agent-Based Model for Crowd Simulation. WIVACE 2022: 15-26 - [e9]Bernabé Dorronsoro, Mario Pavone, Amir Nakib, El-Ghazali Talbi:
Optimization and Learning - 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022, Proceedings. Communications in Computer and Information Science 1684, Springer 2022, ISBN 978-3-031-22038-8 [contents] - 2021
- [e8]Bernabé Dorronsoro, Lionel Amodeo, Mario Pavone, Patricia Ruiz:
Optimization and Learning - 4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings. Communications in Computer and Information Science 1443, Springer 2021, ISBN 978-3-030-85671-7 [contents] - 2020
- [j13]Vincenzo Cutello, Georgia Fargetta, Mario Pavone, Rocco A. Scollo:
Optimization Algorithms for Detection of Social Interactions. Algorithms 13(6): 139 (2020) - [c31]Rocco A. Scollo, Vincenzo Cutello, Mario Pavone:
Where the Local Search Affects Best in an Immune Algorithm. AI*IA 2020: 99-114 - [c30]Carolina Crespi, Georgia Fargetta, Mario Pavone, Rocco A. Scollo, Laura Scrimali:
A Game Theory Approach for Crowd Evacuation Modelling. BIOMA 2020: 228-239
2010 – 2019
- 2019
- [j12]Wenjian Luo, Mario Pavone, Carlos Artemio Coello Coello, Licheng Jiao, Ramit Mehr:
Foreword: Some advances in Immune Computation and applications. Swarm Evol. Comput. 50 (2019) - [c29]Vincenzo Cutello, Maria Oliva, Mario Pavone, Rocco A. Scollo:
A Hybrid Immunological Search for the Weighted Feedback Vertex Set Problem. LION 2019: 1-16 - [c28]Vincenzo Cutello, Maria Oliva, Mario Pavone, Rocco A. Scollo:
An Immune Metaheuristics for Large Instances of the Weighted Feedback Vertex Set Problem. SSCI 2019: 1928-1936 - [c27]Antonio Gianmaria Spampinato, Rocco A. Scollo, Sebastiano Cavallaro, Mario Pavone, Vincenzo Cutello:
An Immunological Algorithm for Graph Modularity Optimization. UKCI 2019: 235-247 - 2018
- [c26]Alessandro Vitale, Antonino Di Stefano, Vincenzo Cutello, Mario Pavone:
The Influence of Age Assignments on the Performance of Immune Algorithms. UKCI 2018: 16-28 - 2017
- [j11]Carlos A. Coello Coello, Vincenzo Cutello, Doheon Lee, Mario Pavone:
Recent advances in immunological inspired computation. Eng. Appl. Artif. Intell. 62: 302-303 (2017) - [j10]Sajjad Fouladvand, Alireza Osareh, Bita Shadgar, Mario Pavone, Siyamack Sharafi:
DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors. Eng. Appl. Artif. Intell. 62: 359-372 (2017) - [c25]Alice Plebe, Vincenzo Cutello, Mario Pavone:
Optimizing Costs and Quality of Interior Lighting by Genetic Algorithm. IJCCI (Selected Papers) 2017: 19-39 - [c24]Alice Plebe, Vincenzo Cutello, Mario Pavone:
Evolving Illumination Design Following Genetic Strategies. IJCCI 2017: 289-296 - [c23]Alice Plebe, Mario Pavone:
Multi-objective Genetic Algorithm for Interior Lighting Design. MOD 2017: 222-233 - 2016
- [j9]Mario Pavone, Rabie A. Ramadan, Athanasios V. Vasilakos:
Intelligent cloud computing. Memetic Comput. 8(4): 253-254 (2016) - [c22]Camelia-Mihaela Pintea, Oliviu Matei, Rabie A. Ramadan, Mario Pavone, Muaz Niazi, Ahmad Taher Azar:
A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization. SOFA (2) 2016: 87-95 - [c21]Antonino Di Stefano, Alessandro Vitale, Vincenzo Cutello, Mario Pavone:
How long should offspring lifespan be in order to obtain a proper exploration? SSCI 2016: 1-8 - [e7]Maria J. Blesa, Christian Blum, Angelo Cangelosi, Vincenzo Cutello, Alessandro G. Di Nuovo, Mario Pavone, El-Ghazali Talbi:
Hybrid Metaheuristics - 10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016, Proceedings. Lecture Notes in Computer Science 9668, Springer 2016, ISBN 978-3-319-39635-4 [contents] - 2015
- [j8]Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi, Mario Pavone:
Advances in Artificial Life: Synthesis and Simulation of Living Systems: Editorial. Artif. Life 21(4): 395-397 (2015) - [j7]Carlos A. Coello Coello, Giuditta Franco, Natalio Krasnogor, Mario Pavone:
Algorithms and models for complex natural systems. Nat. Comput. 14(3): 339-340 (2015) - [e6]Panos M. Pardalos, Mario Pavone, Giovanni Maria Farinella, Vincenzo Cutello:
Machine Learning, Optimization, and Big Data - First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9432, Springer 2015, ISBN 978-3-319-27925-1 [contents] - 2013
- [c20]Piero Consoli, Mario Pavone:
O-BEE-COL: Optimal BEEs for COLoring Graphs. Artificial Evolution 2013: 243-255 - [c19]Piero Consoli, Alessio Collera, Mario Pavone:
Swarm Intelligence heuristics for Graph Coloring Problem. IEEE Congress on Evolutionary Computation 2013: 1909-1916 - [c18]Vincenzo Cutello, Angelo G. De Michele, Mario Pavone:
Escaping Local Optima via Parallelization and Migration. NICSO 2013: 141-152 - [e5]Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi, Mario Pavone:
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013, Sicily, Italy, September 2-6, 2013. MIT Press 2013, ISBN 9780262317092 [contents] - 2012
- [j6]Mario Pavone, Giuseppe Narzisi, Giuseppe Nicosia:
Clonal selection: an immunological algorithm for global optimization over continuous spaces. J. Glob. Optim. 53(4): 769-808 (2012) - [j5]Mario Pavone, Carlos A. Coello Coello:
Optimization on complex systems. Memetic Comput. 4(3): 163-164 (2012) - [e4]Carlos A. Coello Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone:
Artificial Immune Systems - 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012. Proceedings. Lecture Notes in Computer Science 7597, Springer 2012, ISBN 978-3-642-33756-7 [contents] - [e3]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7491, Springer 2012, ISBN 978-3-642-32936-4 [contents] - [e2]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7492, Springer 2012, ISBN 978-3-642-32963-0 [contents] - 2011
- [j4]Vincenzo Cutello, Giuseppe Morelli, Giuseppe Nicosia, Mario Pavone, Giuseppe Scollo:
On discrete models and immunological algorithms for protein structure prediction. Nat. Comput. 10(1): 91-102 (2011) - [c17]Davide Agostini, Jole Costanza, Vincenzo Cutello, Luca Zammataro, Natalio Krasnogor, Mario Pavone, Giuseppe Nicosia:
Effective calibration of artificial gene regulatory networks. ECAL 2011: 39-46 - [c16]Giovanni Stracquadanio, Renato Umeton, Jole Costanza, Viviana Annibali, Rosella Mechelli, Mario Pavone, Luca Zammataro, Giuseppe Nicosia:
Large Scale Agent-Based Modeling of the Humoral and Cellular Immune Response. ICARIS 2011: 15-29 - [c15]Jole Costanza, Vincenzo Cutello, Mario Pavone:
A Memetic Immunological Algorithm for Resource Allocation Problem. ICARIS 2011: 308-320 - 2010
- [j3]Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone, David A. Pelta:
Special issue on Nature Inspired Cooperative Strategies for Optimisation (NICSO). Nat. Comput. 9(1): 1-3 (2010) - [c14]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Giovanni Stracquadanio:
Entropic divergence for population based optimization algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c13]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Giovanni Stracquadanio:
An Information-Theoretic Approach for Clonal Selection Algorithms. ICARIS 2010: 144-157
2000 – 2009
- 2008
- [e1]Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone, David A. Pelta:
Nature Inspired Cooperative Strategies for Optimization (NICSO 2007). Studies in Computational Intelligence 129, Springer 2008, ISBN 978-3-540-78986-4 [contents] - 2007
- [j2]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone:
An immune algorithm with stochastic aging and kullback entropy for the chromatic number problem. J. Comb. Optim. 14(1): 9-33 (2007) - [j1]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Jonathan Timmis:
An Immune Algorithm for Protein Structure Prediction on Lattice Models. IEEE Trans. Evol. Comput. 11(1): 101-117 (2007) - [c12]Vincenzo Cutello, Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone:
Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization. ICANNGA (1) 2007: 93-101 - 2006
- [c11]Vincenzo Cutello, D. Lee, Giuseppe Nicosia, Mario Pavone, I. Prizzi:
Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators. ICARIS 2006: 321-334 - [c10]Vincenzo Cutello, D. Lee, S. Leone, Giuseppe Nicosia, Mario Pavone:
Clonal Selection Algorithm with Dynamic Population Size for Bimodal Search Spaces. ICNC (1) 2006: 949-958 - [c9]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone:
Real coded clonal selection algorithm for unconstrained global optimization using a hybrid inversely proportional hypermutation operator. SAC 2006: 950-954 - 2005
- [b1]Mario Pavone:
Algoritmi ispirati alla biologia dei problemi di partizionamento, colorazione e predizione della struttura nativa delle proteine. University of Catania, Italy, 2005 - [c8]Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicosia, Mario Pavone:
An Immunological Algorithm for Global Numerical Optimization. Artificial Evolution 2005: 284-295 - [c7]Vincenzo Cutello, Giuseppe Morelli, Giuseppe Nicosia, Mario Pavone:
Immune Algorithms with Aging Operators for the String Folding Problem and the Protein Folding Problem. EvoCOP 2005: 80-90 - [c6]Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicosia, Mario Pavone:
Clonal Selection Algorithms: A Comparative Case Study Using Effective Mutation Potentials. ICARIS 2005: 13-28 - 2004
- [c5]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone:
An immune algorithm with hyper-macromutations for the Dill's 2D hydrophobic-hydrophilic model. IEEE Congress on Evolutionary Computation 2004: 1074-1080 - [c4]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone:
Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators. ICARIS 2004: 263-276 - [c3]Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicosia, Mario Pavone, Giuseppe Sorace:
How to Escape Traps Using Clonal Selection Algorithms. ICINCO (1) 2004: 322-326 - 2003
- [c2]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone:
A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem. GECCO 2003: 171-182 - 2002
- [c1]Alessandro Cincotti, Vincenzo Cutello, Mario Pavone:
Graph partitioning using genetic algorithms with ODPX. IEEE Congress on Evolutionary Computation 2002: 402-406
Coauthor Index
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