Disclaimer: the listing of articles on this webpage concerns exclusively manuscripts published in international peer-review journals and is intended for my own use. Some of the linked files may be covered by publisher copyrights. Please ensure that your institution has the appropriate subscription before accessing any of the PDFs below.
Keywords: combinatorial optimization, integer programming, polyhedral combinatorics, decomposition algorithms, computational complexity, routing, network design, coloring, covering, partitioning, location, games on graphs, chip firing games, orientation problems, constructive characterizations, massive parallel enumeration, enumeration of trees, lattices of unrooted binary trees, tree imbalance, tree coding, Huffman coding, tree metric, submodular functions, convexity, Schur convexity, phylogenetics, phylogenetic networks, mathematical modeling of tumor progression, genome-wide association studies, medical bioinformatics.
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- D. Catanzaro, S. Chaplick, S. Felsner, B. V. Halldórsson, M. M. Halldórsson, T. Hixon, and J. Stacho. Max point-tolerance graphs. Discrete Applied Mathematics, 216(1): 84-97, 2017.
- D. Catanzaro, S. E. Shackney, A. A. Schäffer, and R. Schwartz. Classifying the progression of Ductal Carcinoma from single-cell sampled data via integer linear programming: A case study. IEEE/ACM Transactions in Computational Biology and Bioinformatics, 13(4):643–655, 2016.
- D. Catanzaro, R. Aringhieri, M. Di Summa, and R. Pesenti. A branch-price-and-cut algorithm for the minimum evolution problem. European Journal of Operational Research, 244(3), 753–765, 2015.
- D. Catanzaro and C. Engelbeen. An integer linear programming formulation for the minimum cardinality segmentation problem. Algorithms, 8(4), 999-1020, 2015.
- D. Catanzaro, M. Labbé, and L. E. N. Gouveia. Improved integer linear programming formulations for the job sequencing and tool switching problem. European Journal of Operational Research, 244(3), 766–777, 2015.
- D. Catanzaro, M. Labbé, and R. Pesenti. The balanced minimum evolution problem under uncertain data. Discrete Applied Mathematics, 161(13-14), 1789-1804, 2013.
- D. Catanzaro, R. Ravi, and R. Schwartz. A mixed integer linear programming model to reconstruct phylogenies from single nucleotide polymorphism fragments under the maximum parsimony criterion. BMC Algorithms for Molecular Biology, 8:3, 2013.
- D. Catanzaro, M. Labbé, and B. V. Halldórsson. An integer programming formulation of the parsimonious loss of heterozygosity problem. IEEE/ACM Transactions in Computational Biology and Bioinformatics, 10(6), 1391-1402, 2013.
- D. Catanzaro, M. Labbé, R. Pesenti, and J. J. Salazar-González. The balanced minimum evolution problem. INFORMS Journal on Computing, 24(2), 276-294, 2012.
- R. Aringhieri, D. Catanzaro, and M. Di Summa. Optimal solutions for the balanced minimum evolution problem. Computers and Operations Research, 38(12), 1845--1854, 2011.
- D. Catanzaro, M. Labbé, and M. Salazar-Neumann. Reduction approaches for robust shortest path problems. Computers and Operations Research, 38(11), 1610-1619, 2011.
- D. Catanzaro, E. Gourdin, M. Labbé, and F. A. Özsoy. A branch-and-cut algorithm for the partitioning-hub location-routing problem. Computers and Operations Research 38(2), 539–549, 2011.
- D. Catanzaro, M. Labbé, and L. Porretta. A class representative model for pure parsimony haplotyping under uncertain data. PLoS One 6(3): e17937, 2011.
- D. Catanzaro. Estimating phylogenies from molecular data. In Mathematical approaches to polymer sequence analysis and related problems, R. Bruni (Editor), Springer, New York, 149-176, 2010.
- D. Catanzaro, M. Andrien, M. Labbé, and M. Toungouz-Nevessignsky. Computer-aided human leukocyte antigen association studies: A case study for psoriasis and severe alopecia areata. Human Immunology 71(8), 783-788, 2010.
- D. Catanzaro and M. Labbé. The pure parsimony haplotyping problem: Overview and computational advances. International Transactions in Operational Research 16(5), 561-584, 2009.
- D. Catanzaro, A. Godi, and M. Labbé. A class representative model for pure parsimony haplotyping. INFORMS Journal on Computing 22(2), 195–209, 2010.
- D. Catanzaro. The minimum evolution problem: Overview and classification. Networks 53(2), 112-125, 2009.
- D. Catanzaro, M. Labbé, R. Pesenti, and J. J. Salazar-González. Mathematical models to reconstruct phylogenetic trees under the minimum evolution criterion. Networks 53(2), 126-140, 2009.
- D. Catanzaro, R. Pesenti, and M. C. Milinkovitch. An ant colony optimization algorithm for phylogenetic estimation under the minimum evolution principle. BMC Evolutionary Biology 7:228, 2007.
- L. Gatto, D. Catanzaro, and M. C. Milinkovitch. Assessing the applicability of the GTR model through simulations. Evolutionary Bioinformatics 2, 153-163, 2006.
- D. Catanzaro, R. Pesenti, and M. C. Milinkovitch. A non-linear optimization procedure to estimate distances and instantaneous substitution rate matrices under the GTR model. Bioinformatics 22(6), 708-715, 2006.
- Other Publications (Book Chapters, Conference Proceedings...)