VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Algirdas Lančinskas' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Algirdas Lančinskas', VU Institute of Data Science and Digital Technologies / Institute of Mathematics and Informatics (based on 1. Lithuanian Academic Library Network (LABT) database of Vilnius University Library [since 2011 until now] and 2. LABT database of Wroblewski Library of the Lithuanian Academy of Sciences [until 2010]):
Eil. Nr. Publikacija
1Lančinskas, Algirdas; Fernandez, Pascual; Pelegrin, Blas; Žilinskas, Julius. Ranking-based algorithm for facility location with constraints // 14th international global optimization workshop (LeGO), 18-21 September 2018, Leiden, The Netherlands : proceedings. Melville : American Institute of Physics, 2019, art. no. 020030. ISBN 9780735417984. p. [1-4]. (AIP Conference Proceedings, ISSN 0094-243X ; vol. 2070). DOI: 10.1063/1.5089997.
2Lančinskas, Algirdas; Žilinskas, Julius; Fernandez, Pascual; Pelegrin, Blas. Ranking-based discrete optimization algorithm for asymmetric competitive facility location // GECCO '19 : proceedings of the genetic and evolutionary computation conference companion, Prague, Czech Republic, July 13 - 17, 2019. New York : Association for Computing Machinery, 2019. ISBN 9781450367486. p. 149-150. DOI: 10.1145/3319619.3321893.
3Fernandez, Pascual; Pelegrin, Blas; Lančinskas, Algirdas; Žilinskas, Julius. The Huff versus the Pareto-Huff customer choice rules in a discrete competitive location model // Computational science and its applications – ICCSA 2018: 18th international conference, Melbourne, VIC, Australia, July 2–5, 2018: proceedings / Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, ... [et al.] (Eds.). Cham : Springer, 2018. ISBN 9783319951645. eISBN 9783319951652. p. 583-592. (Lecture notes in computer science, ISSN 0302-9743, eISSN 1611-3349 ; vol. 10961). DOI: 10.1007/978-3-319-95165-2_41.
4Tiešis, Vytautas; Lančinskas, Algirdas; Marcinkevičius, Virginijus. Presymptomatic genetic risk assessment methods // Data analysis methods for software systems : 7th international workshop, Druskininkai, December 3-5, 2015 : [abstracts book]. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas, 2015. ISBN 9789986680581. p. 50. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2015_abstract_last_1.pdf>.
5Lančinskas, Algirdas; Fernández, Pascual; Pelegín, Blas; Žilinskas, Julius. Improving solution of discrete competitive facility location problems // Optimization letters. Heidelberg : Springer. ISSN 1862-4472. eISSN 1862-4480. 2017, Vol. 11, no 2, p. 259-270. DOI: 10.1007/s11590-015-0930-3.
6Evangelista, Daniela; Zuccaro, Antonio; Lančinskas, Algirdas; Žilinskas, Julius; Guarracino, Mario Rosario. A web-oriented software for the optimization of pooled experiments in NGS for detection of rare mutations // BMC research notes. London : Biomed Central. ISSN 1756-0500. 2016, Vol. 9, no 11, art. no 111 [p. 1-7]. DOI: 10.1186/s13104-016-1889-6.
7Lančinskas, Algirdas; Fernandez, Pascual; Pelegrin, Blas; Žilinskas, Julius. Estimating the Pareto front of a hard bi-criterion competitive facility location problem // Advances in stochastic and deterministic global optimization / Editors: Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas. Ser.: Springer optimization and its applications. ISSN 1931-6828. Vol. 107. Cham : Springer International Publishing Switzerland, 2016. ISBN 9783319299730. p. 255-272. DOI: 10.1007/978-3-319-29975-4_14.
8Fernandez, Pascual; Pelegrin, Blas; Lančinskas, Algirdas; Žilinskas, Julius. New heuristic algorithms for discrete competitive location problems with partially binary customer behavior // Computers & operations research. Kidlington : Pergamon-Elsevier Science. ISSN 0305-0548. 2017, Vol. 79, p. 12-18. DOI: 10.1016/j.cor.2016.10.002.
9Filatovas, Ernestas; Lančinskas, Algirdas; Kurasova, Olga; Žilinskas, Julius. A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search // Central European journal of operations research. Heidelberg : Springer. ISSN 1435-246X. 2017, Vol. 25, no 4, p. 859-878. DOI: 10.1007/s10100-016-0443-x.
10Lančinskas, Algirdas; Fernández, Pascual; Pelegrín, Blas; Žilinskas, Julius. Solution of discrete competitive facility location problem for firm expansion = Konkuruojančių objektų vietos parinkimo diskrečiųjų uždavinių rinkoje besiplečiančioms įmonėms sprendimas // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. 2016, Vol. 27, No. 2, p. 451-462. DOI: 10.15388/Informatica.2016.94.
11Lančinskas, Algirdas; Ortigosa, Pilar Martínez; Žilinskas, Julius. Solution of bi-objective competitive facility location problem using parallel stochastic search algorithm // Proceedings of the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015), September 10-11, 2015, Krakow, Poland / Jesus Carretero, Javier Garcia Blas, Roman Wyrzykowski, Emmanuel Jeannot. (Editors). Madrid : University Carlos III, 2015. ISBN 9788460825814. p. 7-9. Prieiga per internetą: <http://e-archivo.uc3m.es/bitstream/handle/10016/21989/solution_NESUS_2015.pdf?sequence=1>.
12Tiešis, Vytautas; Lančinskas, Algirdas; Marcinkevičius, Virginijus. Analysis of genetic risk assessment methods = Genotipo įtakotos susirgimo rizikos įvertinimo metodų tyrimas // Lietuvos matematikos rinkinys. LMD darbai. Ser. A. Vilnius : Matematikos ir Informatikos Insititutas. ISSN 0132-2818. 2015, T. 56, p. 117-122. Prieiga per internetą: <http://www.mii.lt/LMR/A/2015/56A19.pdf>.
13Lančinskas, Algirdas; Ortigosa, Pilar Martínez; Žilinskas, Julius. Parallel optimization algorithm for competitive facility location // Mathematical modelling and analysis. Abingdon : Taylor & Francis. ISSN 1392-6292. eISSN 1648-3510. 2015, Vol. 20, no 5, p. 619-640. DOI: 10.3846/13926292.2015.1088903.
14Lančinskas, Algirdas; Ortigosa, Pilar Martinez; Žilinskas, Julius. Parallel shared-memory multi-objective stochastic search for competitive facility location // Euro-Par 2014: Parallel processing workshops, Porto, Portugal, August 25-26, 2014 : Revised selected papers. Part 1. - Book series: Lecture notes in computer science. Vol. 8805. Berlin : Springer-Verlag Berlin. ISSN 0302-9743. 2014, Vol. 8805, p. 71-82. DOI: 10.1007/978-3-319-14325-5_7.
15Lančinskas, Algirdas; Fernandez, P.; Pelegrin, B.; Žilinskas, Julius. Solution of discrete competitive facility location problem for an entering firm // Data analysis methods for software systems : 6th International Workshop : [abstracts book], Druskininkai, Lithuania, December 4-6, 2014. [Vilnius], 2014. ISBN 9789986680505. p. 34-35.
16Baronas, Romas; Lančinskas, Algirdas; Žilinskas, Antanas. Optimization of Bi-layer biosensors: trade-off between sensitivity and enzyme volume // Baltic journal of modern computing. Riga : University of Latvia. ISSN 2255-8942. 2014, Vol. 2, no. 4, p. 285-296. Prieiga per internetą: <http://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/2_4_7_Baronas.pdf>.
17Lančinskas, Algirdas; Hendrix, Eligius M.; Žilinskas, Julius. On benchmarking stochastic global optimization algorithms // MAGO 2014 : Mathematical and applied global optimization : proceedings of the XII global optimization workshop, 1-4 September 2014, Málaga / edited by : L.G. Casado, I. García, E.M.T. Hendrix. Málaga, 2014. ISBN 9788416027576. p. 9-12. Prieiga per internetą: <http://www.hpca.ual.es/~MAGO14/MAGO14-Proceedings.pdf>.
18Žilinskas, Julius; Lančinskas, Algirdas; Guarracino, Mario Rosario. Application of multi-objective optimization to pooled experiments of next generation sequencing for detection of rare mutations // PLoS ONE [Elektroninis išteklius]. San Francisko : Public Library of Science. ISSN 1932-6203. 2014, Vol. 9, iss. 9, Art. No. e104992. DOI: 10.1371/journal.pone.0104992.
19Lančinskas, Algirdas; Žilinskas, Julius. Parallel multi-objective memetic algorithm for competitive facility location // Parallel processing and applied mathematics : 10th international conference, PPAM 2013, Warsaw, Poland, September 8-11, 2013: revised selected papers, Part II. - Book series: Lecture notes in computer science, Vol. 8385. ISSN 0302-9743. Berlin : Springer-Verlag Berlin, 2014. ISBN 9783642551949. p. 354-363.
20Baronas, Romas; Kulys, Juozas; Lančinskas, Algirdas; Žilinskas, Antanas. Effect of diffusion limitations on multianalyte determination from biased biosensor response // Sensors. Basel : MDPI AG. ISSN 1424-8220. 2014, Vol. 14, iss. 3, p. 4634-4656. DOI: 10.3390/s140304634.
21Lančinskas, Algirdas; Ortigosa, Pilar Martinez; Žilinskas, Julius. Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm // Nonlinear analysis : modelling and control. Vilnius : Institute of Mathematics and Informatics. ISSN 1392-5113. 2013, vol. 18, no. 3, p. 293-313. Prieiga per internetą: <http://www.mii.lt/na/issues/NA_1803/NA18303.pdf>.
22Lančinskas, Algirdas; Žilinskas, Julius. Solution of multi-objective competitive facility location problems using parallel NSGA-II on large scale computing systems // Applied parallel and scientific computing : 11th international conference, PARA 2012, Helsinki, Finland, June 10-13, 2012 : revised selected papers. - Book series: Lecture notes in computer science, Vol. 7204. Berlin : Springer-Verlag Berlin. ISSN 0302-9743. 2013, Vol. 7782, p. 422-433. DOI: 10.1007/978-3-642-36803-5_31.
23Baronas, Romas; Kulys, Juozas; Žilinskas, Antanas; Lančinskas, Algirdas; Baronas, Darius. Optimization of the multianalyte determination with biased biosensor response // Chemometrics and intelligent laboratory systems. Amsterdam : Elsevier BV. ISSN 0169-7439. 2013, vol. 126, p. 108-116. DOI: 10.1016/j.chemolab.2013.05.003.
24Lančinskas, Algirdas; Žilinskas, Julius; Pelegrin, Blas; Fernandez, Pascual. On a biobjective location model for firm expansion with binary customer behaviour // EURO 25 : 25th European conference on operational research : abstracts, Vilnius, 8-11 July, 2012. Vilnius. 2012, p. 140.
25Lančinskas, Algirdas; Žilinskas, Julius. Approaches to parallelize Pareto ranking in NSGA-II algorithm // Parallel Processing and Applied Mathematics. P. 2. - Book series: Lecture Notes in Computer Science, Vol. 7204. Berlin : Springer-Verlag Berlin. ISSN 0302-9743. 2012, Vol. 7204, p. 371-380. DOI: 10.1007/978-3-642-31500-8_38.
26Lančinskas, Algirdas; Žilinskas, Julius. Daugiakriterinio optimizavimo algoritmų lygiagretinimas // Fizinių ir technologijos mokslų tarpdalykiniai tyrimai : antroji LMA Jaunųjų mokslininkų konferencija, Vilnius, 2012 02 14. Fizinių mokslų sekcija : pranešimų tezės. Vilnius : LMA leidykla. 2012, [1 p.].
27Lančinskas, Algirdas; Žilinskas, Julius; Ortigosa, Pilar Martinez. Local optimization in global Multi-objective Optimization Algorithms // 2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC), 19 - 21 October 2011, Spain. Salamanca : IEEE, 2011. ISBN 9781457711220. p. 323-328. Prieiga per internetą: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6089613>.
28Lančinskas, Algirdas; Žilinskas, Julius; Ortigosa, Pilar Martinez. Lokalusis optimizavimas globaliojo daugiakriterinio optimizavimo algoritmuose = Local optimization in global multiobjective optimization algorithms // Fizinių ir technologijos mokslų tarpdalykiniai tyrimai : pirmosios LMA Jaunųjų mokslininkų konferencijos pranešimų santraukos, Vilnius, 2011.02.08 [Elektroninis išteklius]. Vilnius : LMA leidykla. 2011, p.[ 1].
29Lančinskas, Algirdas; Žilinskas, Julius; Ortigosa, Pilar Martínez. Investigation of parallel particle swarm optimization algorithm with reduction of the search area // 2010 IEEE international conference on cluster computing workshops and posters (Cluster workshops) [Elektronins išteklius] : Heraklion, Crete, Greece, September 20-24, 2010. [S.l.] : IEEE, 2010. ISBN 9781424483976. P. 1-5. DOI: 10.1109/CLUSTERWKSP.2010.5613108.
30Lančinskas, Algirdas; Žilinskas, Julius. Methods for generation of random numbers in parallel stochastic algorithms for global optimization // Jaunųjų mokslininkų darbai. ISSN 1648-8776. 2010, Nr. 2 (27), P. 118-122. Prieiga per internetą: <http://www.su.lt/bylos/mokslo_leidiniai/jmd/10_01_27/lancinskas_zilinskas.pdf>.