Mario Francesco PAVONE

La sua ricerca verte sulla progettazione e sviluppo di meta-euristiche e algoritmi bio-ispirati per problemi di ottimizzazione combinatoria e nell’area della synthetic & systems biology. In particolare, il suo lavoro di ricerca in questi anni si è concentrato su: protein structure prediction problem, estrazione dei parametri in reti biologiche (gene regulatory networks), colorazione dei grafi, ottimizzazione di funzioni e problemi di routing. È stato Chair di molte conferenze e workshop internazionali, tra le principali si annoverano ICARIS 2012, PPSN 2012, ECAL 2013, ICSI^3 2015, HM 2016; ed è stato Direttore Scientifico delle scuola estive: “International Synthetic and Systems Biology Summer School” (SSBSS 2014 & SSBSS 2015) e "International Metaheuristics Summer School" (MESS 2018 & MESS 2020). È editore di diversi special issue in riviste internazionali, come Artificial Life, Swarm and Evolutionary Computation, Natural Computing, Memetic Computing BMC Immunology, ed Engineering Applications on Artificial Intelligence. Ad oggi è membro di diversi Editorial Board di riviste internazionali, così come membro di Comitati di Programma per diverse conferenze e workshop internazionali. È stato fondatore del centro di ricerca TaoScience (http://www.taosciences.it/), e recentemente ha fondato il centro di ricerca “Advanced New Technologies research laboratory (ANTs laboratory)”, ricoprendo il ruolo di Direttore Scientifico. Da Maggio 2014 ad Aprile 2018 ha ricoperto il ruolo di Chair della Task Force on Artificial Immune Systems per la IEEE Computational Intelligence Society, e da Febbraio 2015 è anche Vice-Chair della Task Force on Interdisciplinary Emergent Technologies per la Computational Intelligence Society.

International Journals

S. Fouladvand, A. Osareh, B. Shadgar, M. Pavone, and S. Sharafi, “DENSA: An effective negative selection algorithm with flexible boundaries for selfspace and dynamic number of detectors”, Engineering Applications of Artificial Intelligence, Vol. 62, pp. 359-372, 2017

J. Costanza, V. Cutello and M. Pavone, “An Immunological Algorithm for Combinatorial Optimization: the Fuel Distribution Problem as Case Study”, International Journal of Swarm Intelligence and Evolutionary Computation, Vol. 4, No. 1, pp. 1-9, 2015

M. Pavone, G. Narzisi, G. Nicosia “Clonal Selection - An Immunological Algorithm for Global Optimization over Continuous Spaces”, Journal of Global Optimization, Vol. 53, No. 4, pp. 769-808, 2012.

V. Cutello, G. Nicosia, M. Pavone “Protein Multiple Sequence Alignment by Hybrid Immunological Algorithms”, Nucleic Acids Research, Oxford Journals, Vol. 39, No. 6, pp. 1980-1992, 2011.

V. Cutello, G. Morelli, G. Nicosia, M. Pavone and G. Scollo, “On Discrete Models and Immunological Algorithms for Protein Structure Prediction”, Natural Computing Journal, special issue on Modelling Bioprocesses, Vol. 10, No. 1, pp. 91-102, 2011.

V. Cutello, G. Nicosia, M. Pavone, “An Immune Algorithm with Stochastic Aging and Kullback Entropy for the Chromatic Number Problem”, Journal on Combinatorial Optimization, Vol. 14, No. 1, pp. 9-33, 2007.

V. Cutello, G. Nicosia, M. Pavone, J. Timmis “An Immune Algorithm for Protein Structure Prediction”, IEEE Transaction on Evolutionary Computation, Vol. 11, No. 1, pp. 101-117, 2007.

 

Refereed Conference/Workshop Proceedings

A. Plebe, V. Cutello and M. Pavone, “Multi-Objective Genetic Strategy for Interior Illumination Design”, selected paper from IJCCI 2017 for publication in Studies in Computational Intelligence book series, Springer (to appear).

T. Calenda, A. Vitale, A. Di Stefano, V. Cutello, E.G. Talbi, and M. Pavone, “Maturation of Individuals in Evolutionary Learning”, 7^th International Conference on Metaheuristics and Nature Inspired Computing (META 2018), Recent Developments in Metaheuristics, Springer, 2018 (to appear)

A. Vitale, A. Di Stefano, V. Cutello, and M. Pavone, “The Influence of Age Assignments on the Performance of Immune Algorithms”, 18^th Annual UK Workshop on Computational Intelligence (UKCI 2018), Advances in Computational Intelligence Systems, Advances in Intelligent Systems and Computing series, vol 840, pp. 16-28, Springer-Verlag, 2018.

A. Plebe, and M. Pavone, “Multi-objective Genetic Algorithm for Interior Lighting Design”, 3^rd International Conference on Machine Learning, Optimization and Big Data (MOD 2017), LNCS 10710, pp. 222-233, Springer-Verlag, 2018.

C. M. Pintea, O. Matei, R.A. Ramadan, M. Pavone, M. Niazi, and A. Taher, “A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization”, 7th International Workshop on Soft Computing Applications (SOFA 2016), Soft Computing Applications, Springer, Volume 2, Series volume 634, pp. 87-95, 2018.

A. Plebe, V. Cutello and M. Pavone, “Genetic Strategy for Interior Lighting Design”, 9^th International Joint Conference on Computational Intelligence (IJCCI 2017), Vol. 1, pp. 289-296, 2017. (ISBN: 978-989-758-274-5)

T. Calenda, A. Di Stefano, A. Vitale, V. Cutello, and M. Pavone, “Optimizing the Individuals Maturation for Maximizing the Evolutionary Learning”, XII Workshop on Artificial Life and Evolutionary Computation (WIVACE 2017), pp. 27-30, 2017. (ISBN 978-88-903581-3-5, 2017)

A. Di Stefano, A. Vitale, V. Cutello, and M. Pavone, “How long should Offspring Lifespan be in order to obtain a proper exploration?”, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), IEEE Press, pp. 1-8, INSPEC Accession Number: 16670548, 2016.

P. Conca, G. Stracquadanio, O. Greco, V. Cutello, M. Pavone and G. Nicosia, “Packing equal disks in a unit square: an immunological optimization approach”, 1st International Congress on Systems Immunology, Immunoinformatics & Immune-computation (ICSI³ 2015), IEEE Press, Taormina, Italy, July 17-18, 2015 (INSPEC Accession Number: 15989392).

P. Consoli, and M. Pavone, “O-BEE-COL: Optimal BEEs for COLoring Graphs”, Biennial International Conference on Artificial Evolution (EA 2013), LNCS 8752, pp. 243-255, Springer-Verlag, Bordeaux, France, October 21-23, 2013.   

P. Consoli, A. Collerà, and M. Pavone, “Swarm Intelligence Heuristics for Graph Coloring Problem”, IEEE Congress on Evolutionary Computation (CEC 2013), Vol. 1, pp. 1909-1916, Cancún, México, June 20-23, 2013. IEEE Press (INSPEC Accession Number: 13672192).

V. Cutello, A. G. De Michele, and M. Pavone, “Escaping Local Optima via Parallelization and Migration”, 6th International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), Studies in Computational Intelligence, Vol. 512, pp. 141-152, Canterbury, UK, September 2-4, 2013.  

A. G. De Michele, and M. Pavone, “Multi-Threaded Genetic Algorithm for Escaping Local Optima”, 4th International Conference on Metaheuristics and Nature Inspired Computing (META 2012), Port El-Kantaoiui, Tunisia, October 27-31, 2012.

D. Agostini, J. Costanza, V. Cutello, L. Zammataro, N. Krasnogor, M. Pavone, and G. Nicosia, “Effective Calibration of Artificial Gene Regulatory Networks”, 20th European Conference on Artificial Life (ECAL 2011), pp. 39-46, MIT Press, Paris, France, August 8-12, 2011.

G. Stracquadanio, R. Umeton, J. Costanza, V. Annibali, R. Mechelli, M. Pavone, L. Zammataro, and G. Nicosia, “Large Scale Agent-Based Modeling of the Humoral and Cellular Immune Response”, 10th International Conference on Artificial Immune Systems (ICARIS 2011), LNCS 6825, pp. 15-29, Springer-Verlag, Cambridge, UK, July 18-21, 2011.

J. Costanza, V. Cutello, and M. Pavone, “A Memetic Immunological Algorithm for Resource Allocation Problem”, 10th International Conference on Artificial Immune Systems (ICARIS 2011), LNCS 6825, pp. 308-320, Springer-Verlag, Cambridge, UK, July 18-21, 2011.

M. Pavone, “P system Reverse Engineering for Gene Regulatory Networks in S-system Models”, 8th International Conference on Complex Systems (ICCS 2011), New England Complex Systems Institute, pp. 492-503, Quincy, MA, USA, June 26 - July 1, 2011.

V. Cutello, G. Nicosia, M. Pavone, and G. Stracquadanio “Entropic Divergence for Population Based Optimization Algorithms”, IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, July 18-23, 2010. IEEE Press.

V. Cutello, G. Nicosia, M. Pavone and G. Stracquadanio, “An Information Theoretic Approach for Clonal Selection Algorithms”, 9th International Conference on Artificial Immune Systems (ICARIS 2010), LNCS 6209, pp. 144-157, Edinburgh, UK, July 26-29, 2010. 

V. Cutello, G. Nicosia, M. Pavone, I. Prizzi, “Proteomic Multiple Sequence Aligments: Refinement using an Immunological Local Search”, Applied and Industrial Mathematics in Italy II (SIMAI), series on Advances in Mathematics for Applied Sciences, Vol. 75, pp. 291-302, World Scientific, 2007.

V. Cutello, N. Krasnogor, G. Nicosia, M. Pavone “Immune Algorithm versus Differential Evolution: a Comparative Case Study using High Dimensional Function Optimization”, International Conference on Adaptive and Natural Computing Algorithms (ICANNGA), LNCS 4431, pp. 93-101, Warsaw, Poland, 11-14 April, 2007.

V. Cutello, D. Lee, G. Nicosia, M. Pavone, I. Prizzi, “Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators”, 5th International Conference on Artificial Immune Systems (ICARIS), Lecture Notes in Computer Science, Vol. 4163, pp. 321-334, Instituto Gulbenkian de Ciência, Oeiras, Portugal, September 4-6, 2006.

V. Cutello, D. Lee, S. Leone, G. Nicosia, M. Pavone, “Clonal Selection Algorithm with Dynamic Population Size for Bimodal Search Spaces”, 2nd International Conference on Natural Computation (ICNC), Lecture Notes in Computer Science, Vol. 4221, pp. 949-958, Xi'an, China, September 24-28, 2006.

V. Cutello, G. Narzisi, G. Nicosia, M. Pavone “Real Coded Clonal Selection Algorithm for Global Numerical Optimization using a new Inversely Proportional Hypermutation Operator”, 20th ACM Symposium on Applied Computing (SAC), ACM vol. 2, pp. 950-954, Dijon, France, April 23-27, 2006.

V. Cutello, G. Narzisi, G. Nicosia, M. Pavone, “An Immunological Algorithm for Global Numerical Optimization”, 7th International Conference on Artificial Evolution (EA), Lecture Notes in Computer Science, Vol. 3871, pp. 284-295, Lille, France, October 26-28, 2005.

V. Cutello, G. Narzisi, G. Nicosia, M. Pavone, “Clonal Selection Algorithms: A Comparative Case Study using Effective Mutation Potentials”, 4th International Conference on Artificial Immune Systems, ICARIS 2005, Lecture Notes in Computer Science, Vol. 3627, pp. 13-28, Banff, Alberta, Canada, August 14-17, 2005.

V. Cutello, G. Morelli, G. Nicosia, M. Pavone, “Immune Algorithms with Aging Operators for the String Folding Problem and the Protein Folding Problem”, 5th European Conference on Evolutionary Computation in Combinatorial Optimization, EVOCOP 2005, Lecture Notes in Computer Science, Vol. 3448, pp. 80-90, Lausanne, Switzerland, March 30 – April 1, 2005.

V. Cutello, G. Nicosia, M. Pavone, “Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators”, 3rd International Conference on Artificial Immune Systems, ICARIS 2004, Lecture Notes in Computer Science, Vol. 3239, pp. 263-276, Catania, Italy, September  13-16, 2004.

V. Cutello, G. Narzisi, G. Nicosia, M. Pavone, G. Sorace, “How to Escape Traps Using Clonal Selection Algorithms”, 1st International Conference on Informatics in Control, Automation and Robotics, ICINCO 2004, INSTICC Press, Vol. 1, pp. 322-326, Setúbal, Portugal, August 25-28, 2004.

V. Cutello, G. Nicosia, M. Pavone, “An Immune Algorithm with Hyper-Macromutations for the Dill's 2D Hydrophobic-Hydrophilic Model”, 2004 IEEE Congress on Evolutionary Computation, CEC 2004, IEEE Press, Vol. 1, pp. 1074-1080, Portland, Oregon, June 19-20, 2004.

V. Cutello, G. Nicosia, M. Pavone, “A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem”, Genetic and Evolutionary Computation COnference, GECCO 2003, Lecture Notes in Computer Science, Vol. 2723, pp. 171-182, Chicago, Illinois, July 12-16, 2003.

A. Cincotti, V. Cutello, M. Pavone, “Graph Partitioning with Genetic Algorithms using ODPX”, 2002 IEEE Congress on Evolutionary Computation, CEC 2002, IEEE Press, pp. 402-406, Honolulu, Hawaii, May 12-17, 2002.

A. Cincotti, V. Cutello, F. Pappalardo, M. Pavone: “GPEG: Graph Partitioning using evolutionary games”, Proceedings of the 9th International Conference on Information Processing and Management of Uncertainly in Knowledge-Based Systems, IPMU 2002, Vol. 2, pp.817-821, Annecy, France, July 1-5, 2002.

 

Refereed Abstracts/Communications under Reviewers and with Proceedings

S. Strano, V. Cutello and M. Pavone, “An Immunological Algorithm for the Capacitated Vehicle Routing Problem”, 28th Conference of the European Chapter on Combinatorial Optimization (ECCO 2015), May 28-30, 2015

P. Consoli, A. Collerà and M. Pavone, “Which Artificial Colony Seems to Be Most Suitable for Coloring a Map?”, 11th Workshop on Advances in Continuous Optimization (EUROPT 2013), Florence, Italy, 26-28 June, 2013.    

P. Consoli, and M. Pavone, “Artificial Bee Colony for Graph Coloring Problem”, 26th European Conference on Operational Research (EURO | INFORMS MMXIII), Rome, Italy, 1-4 July, 2013.    

A. G. De Michele and M. Pavone, “Multi-Threaded Genetic Algorithm for Escaping Local Optima”, 10th Workshop on Advances in Continuous Optimization (EUROPT), Siauliai, Lithuania, July 5-7, 2012

M. Pavone, “Parameters Optimization in S-System Models using Population-based Reverse Engineering Methods”, SIAM Conference on OPTIMIZATION (OP11), Darmstadt, Germany, May 16-19, 2011.

M. Pavone and N. Krasnogor, “A Memetic Clonal Selection Algorithm for a Combinatorial Optimziation”, 8th EUROPT Workshop “Advances in Continuous Optimization”, satellite events of European Conference on Operational Research (EURO XXIV), Lisbon, Portugal, July 11-14, 2010.

M. Pavone and N. Krasnogor, “Bio-Inspired Reverse Engineering Methodologies to Infer the Gene Regulatory Networks”, 24th European Conference on Operational Research (EURO XXIV), special session on Natural Computation in BioInformatics,  Lisbon, Portugal, July 11-14, 2010.

V. Cutello, G. Nicosia and M. Pavone, “Optimization Algorithms for the Protein Structure Prediction Problem”, 24th European Conference on Operational Research (EURO XXIV), special session on Natural Computation in BioInformatics, Lisbon, Portugal, July 11-14, 2010.

 

Refereed Abstracts/Communications under Reviewers and without Proceedings

V. Cutello, G. Nicosia, M. Pavone “Robust Immunological Algorithm for High-Dimensional Global Opimization”, VI Italian Workshop on Artificial Life and Evolutionary Computation, Naples, Italy, November 23-25, 2009.

V. Cutello, G. Nicosia, M. Pavone “A Hybrid Immunological Algorithm for Combinatorial Optimization Problems”, VI Italian Workshop on Artificial Life and Evolutionary Computation, Naples, Italy, November 23-25, 2009.

 

Editorials

C. A. Coello Coello, V. Cutello, D. Lee, and M. Pavone, Editorial: Recent Advances in Immunological Inspired Computation, special issue on Engineering Applications of Artificial Intelligence, Elsevier, Vol. 62, pp. 302-303, 2017

M. Pavone, R.A. Ramadan, and A.V. Vasilakos, Editorial: Intelligent Cloud Computing, special issue on Memetic Computing, Springer, Vol. 8, No. 4, 2016

P. Liò, O. Miglino, G. Nicosia, S. Nolfi and M. Pavone, Editorial: Advances in Artificial Life, special issue on Artificial Life, MIT, Vol. 21, No. 2, 2015

C. A. Coello Coello, G. Franco, N. Krasnogor, and M. Pavone, Editorial: Algorithms & Models for Complex Natural Systems, special issue on Natural Computing, Springer, Vol. 14, No. 3, pp. 339-340, 2015

M. Pavone, and C. A. Coello Coello, Editorial: Optimization on Complex Systems, special issue on Memetic Computing, Vol. 4, No. 3, pp. 163-164, 2012

N. Krasnogor, G. Nicosia, M. Pavone, and D.A. Pelta, Editorial: Nature Inspired Cooperative Strategies for Optimization, special issue on Natural Computing, Vol. 9, No. 1, pp. 1-3, 2010.

M. J. Blesa, C. Blum, A. Cangelosi, V. Cutello, A. Di Nuovo, M. Pavone and E.G. Talbi, “10th International Workshop on Hybrid Metaheuristics – HM 2016”, Lecture Notes in Computer Science, Springer, Vol. 9668, Springer-Verlag, 2016.  

C. A. Coello Coello, V. Cutello, D. Lee, M. Pavone and L. Zammataro, “International Workshop on Artificial Immune Systems - International Congress on Systems Immunology, Immunoinformatics & Immune-computation – AIS 2015 & ICSI³ 2015”, IEEE Press, No. CFP15B90-ART, 2015.

P. Pardalos, M. Pavone, G. M. Farinella and V. Cutello, “1th International Workshop on Machine learning, Optimization, and big Data – MOD 2015”, Lecture Notes in Computer Science, Springer, vol. 9432, 2015.  

P. Liò, O. Miglino, G. Nicosia, S. Nolfi and M. Pavone, “Advances in Artificial Life – ECAL 2013”, proceedings of the 12th European Conference on Artificial Life, MIT Press, 2013.

C. A. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, and M. Pavone, “12th International Conference on Parallel Problem Solving from Nature – PPSN 2012”, Lecture Notes in Computer Science - Part I, Vol. 7491, Springer-Verlag, 2012.   

C.A. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, and M. Pavone, “12th International Conference on Parallel Problem Solving from Nature – PPSN 2012”, Lecture Notes in Computer Science - Part II, Vol. 7492, Springer-Verlag, 2012.

M. Pavone, and C. A. Coello Coello, “Optimization on Complex Systems”, Memetic Computing, Vol. 4, issue 3, 2012.

C. A. Coello Coello, J. Greensmith, N. Krasnogor, P. Liò, G. Nicosia, and M. Pavone, “11th International Conference on Artificial Immune Systems – ICARIS 2012”, Lecture Notes in Computer Science, Vol. 7597, Springer-Verlag, 2012.

N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta, “Nature Inspired Cooperative Strategies for Optimization”, Natural Computing, Vol. 8, issue 4, 2009.

N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta, “2nd International Workshop on Nature Inspired Cooperative Strategies for Optimization – NICSO2007”, book series on Studies  in Computational Intelligence, Vol. 129, Springer-Verlag, 2008.

 

Italian Journals

G. Nicosia, M. Giacobini, M. Pavone, L. Vanneschi, “Workshop Italiano di Vita Artificiale e Computazione Evolutiva (WIVACE 2007)”, Sistemi Intelligenti, Società editrice Il Mulino, a.XX, n.2/Agosto 2008.

Anno accademico   2018/2019 2017/2018 2016/2017 2015/2016

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  COMPUTAZIONE NATURALE E BIOISPIRATA
  
  
• Informatica - 2 anno
  ALGORITMI E LABORATORIO A - L
  
  
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  ALGORITMI E LABORATORIO M - Z

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Insegnamenti tenuti presso altri dipartimenti nell'anno accademico 2018/2019

• DIPARTIMENTO DI CHIRURGIA GENERALE E SPECIALITÀ MEDICO-CHIRURGICHE
  Corso di laurea magistrale in Odontoiatria e protesi dentaria - 1 anno
  METODOLOGIA SCIENTIFICA E LINGUISTICA

Meta-Euristiche; Ottimizzazione; Computazione Evolutiva; Intelligenza Artificiale; Sistemi Intelligenti; Sistemi Complessi; Biologia computazionale; Ricerca Operativa.