Positions & Education

Positions

• Senior Researcher (Postdoctoral Fellow) (from 2017)
  Vilnius University, Institute of Data Science and Digital Technologies
• Associate Professor (from 2017)
  Vilnius University, Institute of Data Science and Digital Technologies
Full work experience

Education

• PhD in Physical Sciences (Informatics, 09P)
  Vilnius University, Institute of Mathematics and Informatics, 2013
  Topic of the thesis: Parallelization of Random Search Global Optimization Algorithms
• Master in Informatics
  former Vilnius Pedagogical University, 2009
• Bachelor in Mathematics and Mathematics/Informatics teacher qulification
  former Vilnius Pedagogical University, 2007

Qualification

• COST Training School on Bridging the Gap Between Theory and Practice and Making Nature-inspired Search and Optimisation Heuristics More Applicable. Paris, France, 2017 October 18-24
• HiPEAC Computing Systems Week. Dublin, Ireland, 2016 November 7−9
• NESUS Winter School and PhD Symposium 2016. Timisoara, Romania, 2016 February 8−11
• MINO/COST Spring School on Mixed Integer Nonlinear Optimization and Applications. Tilburg, The Netherlands, 2015 March 10−13
• HiPEAC Computing Systems Week. Barcelona, Spain, 2014 May 13−15
• Spring School on Convex Optimization and Applications. Klagenfurt, Austria, 2014 April 8−11
• ComplexHPC Spring School 2013: Heterogeneous Computing − Impact on Algorithms. Uppsala, Sweden, 2013 June 3−7
• ComplexHPC Spring School 2011: HPDC Middleware, Environments, and Tools. Amsterdam, The Netherlands, 2011 May 9−13
• Summer School on Modern Data Mining Technologies. Druskininkai, Lithuania, 2007 September 9−15

Activities

Academic Activities

• Member of PhD thesis Defence Council: 2 times
  • Linas Stripinis (Vilnius University, 2021 February 25)
    Natural Sciences, Informatics (N 009)
  • Laurynas Mačiukas (Vilnius Gediminas Technical University, 2021 May 28)
    Technological Sciences, Mechanical Engineering (T 009)
• Reviewer of PhD thesis: 4 times
• Subjects taught in Vilnius University:
• Procedural Programming (Bachelor Study Program)
• Parallel Programming (Bachelor Study Program)
• Computer Networks and High Performance Computing (Bachelor Study Program)
• Parallel and Distributed Computing (PhD Study Program)
• Global Optimization Methods (PhD Study Program)

Research Projects

• Member of the management committee of COST Action CA22137: ROAR-NET − Randomised Optimisation Algorithms Research Network (from 2023).
• Postdoctoral fellow in the postdoctoral research project Development and parallelization of ranking-based optimization algorithms, funded by Research Council of Lithuania (2017−2019).
• Researcher in the project Development and applications of bilevel optimization algorithms, funded by the Research Council of Lithuania 2017−2020).
• Member of the management committee of COST Action CA15140: ImAppNIO − Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (2016−2020).
• Member of the management committee of COST Action IC1305: NESUS − Network for Sustainable Ultrascale Computing (2014−2018).
• Researcher in the project Creation and development of algorithms for global optimization, funded by Research Council of Lithuania (2014−2016).
• Researcher in the project Nonconvex multiobjective optimization: methods and algorithms, funded by Research Council of Lithuania (2012−2014).
• Researcher in the project Developing computational techniques, algorithms, and tools for efficient simulation and optimization of biosensors of complex geometry, funded by European Social Fund under Global Grant measure "Support to Research of Scientists and Other Researchers" (2011−2015).
• Member of the project Influencia del criterio de elección del consumidor en la localización óptima de una nueva empresa, funded by Research of the Seneca Foundation − Agency of Science and Technology of the Region of Murcia and hosted by University of Murcia (Spain).
• Member of the project Metodos de optimizacion exactos y heuristicos para la resolucion de nuevos modelos de localizacion competitiva, funded by the Spanish Ministry of Economy and Competitiveness and hosted by University of Murcia (Spain).

Research and Lecturing Visits

• ERASMUS Lecturing Visit to University of La Laguna. San Cristobal de La Laguna, Spain, 2022 June 20−24
• Postdoctoral Research Visit to University of Edinburgh. Edinburgh, United Kingdom, 2019 May 19 − June 2
• ERASMUS Lecturing Visit to University of La Laguna. San Cristobal de La Laguna, Spain, 2019 March 25−March 29
• COST Action CA15140 Short Term Scientific Mission at University of Malaga. Malaga, Spain, 2019 January 27 − February 2
• COST Action CA15140 Short Term Scientific Mission at University of Murcia. Murcia, Spain, 2019 August 13−17
• ERASMUS Lecturing Visit to University of La Laguna. San Cristobal de La Laguna, Spain, 2018 February 26 − March 2
• Postdoctoral Research Visit to University of Murcia. Murcia, Spain, 2018 June 3−17
• COST Action TD1207 Short Term Scientific Mission at University of La Laguna. San Cristobal de La Laguna, Spain, 2016 April 25−29
• ERASMUS Lecturing Visit to University of Malaga. Malaga, Spain, 2014 September 4−9
• COST Action IC0805 Short Term Scientific Mission at University of Almeria. Almeria, Spain, 2013 January 13−26
• COST Action IC0805 Short Term Scientific Mission at University of Almeria. Almeria, Spain, 2012 June 10−23
• COST Action IC0805 Short Term Scientific Mission at University of Almeria. Almeria, Spain, 2011 November 20 − December 3
• HPC-Europa2 Research Visit to Edinburgh Parallel Computing Centre (EPCC). Edinburgh, United Kingdom, 2011 May 18−August 10
• ERASMUS Ph.D. Student Visit to University of Almeria. Almeria, Spain, 2010 September 24−December 23

Memberships

• Member of the management committee of COST actions:
• CA22137: ROAR-NET − Randomised Optimisation Algorithms Research Network (from 2023);
• CA15140: ImAppNIO − Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (2016−2020);
• IC1305: NESUS − Network for Sustainable Ultrascale Computing (2014−2018).
• Affiliated member of HiPEAC − European Network of Excellence on High Performance and Embedded Architecture and Compilation (from 2013)
• Member of the Working Group on Continuous Optimization (EUROPT) of The Association of European Operational Research Societies (EURO)
• Member of conference program committees:
• 16th International Conference on Parallel Problem Solving from Nature (PPSN 2020)
• Black Box Discrete Optimization Benchmarking (BB-DOB) Workshop at the Genetic and Evolutionary Computation Conference (GECCO 2019)
• 3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS 2019)
• 15th International Conference on Parallel Problem Solving from Nature (PPSN 2018)
• 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019)
• 18th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2018)
• 17th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2017)
• 16th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2016)
• 2nd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS 2017)
• 1st International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS 2016)
• Computer Days-2017 − The multi-event of Lithuanian Computer Society
• Computer Days-2015 − The multi-event of Lithuanian Computer Society
• Reviewer of scientific journals:
• Applied Mathematical Modelling
• Baltic Journal of Modern Computing
• Central European Journal of Computer Science
• Computers and Industrial Engineering
• Computers and Operation Research
• Informatica
• Journal of Global Optimization
• Nonlinear Analysis: Modelling and Control
• Open Engineering (Central European Journal of Engineering)
• Optimization Letters
• Research in Transportation Economics

Scientific Publications

1. P. Fernández, A. Lančinskas, B. Pelegrín, J. Žilinskas (2022). A discrete competitive facility location model with proportional and binary rules sequentially applied. Optimization Letters. DOI:10.1007/s11590-022-01938-x.
2. J. Žilinskas, A. Lančinskas, M.R. Guarracino (2021). Pooled testing with replication as a mass testing strategy for the COVID-19 pandemics. Scientific Reports, DOI:10.1038/s41598-021-83104-4.
3. P. Fernández, B. Pelegrín, A. Lančinskas, J. Žilinskas (2021). Exact and Heuristic Solutions of a Discrete Competitive Location Model with Pareto-Huff Customer Choice Rule. Journal of Computational and Applied Mathematics, DOI:doi.org/10.1016/j.cam.2020.113200.
4. A. Lančinskas, P. Fernández, B. Pelegrín, J. Žilinskas (2020). Discrete Competitive Facility Location by Ranking Candidate Locations. In: Data Science: New Issues, Challenges and Applications, vol 869 of Studies in Computational Intelligence, pp. 145−163, DOI:10.1007/978-3-030-39250-5_8
5. P. Fernández, A. Lančinskas, B. Pelegrín, J. Žilinskas (2020). A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule. Informatica, 31(2):205−224. ISSN:0868-4952, DOI:https://doi.org/10.15388/20-INFOR410
6. A. Lančinskas, J. Žilinskas, P. Fernández, B. Pelegrín (2020). Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations. Soft Computing, DOI:https://doi.org/10.1007/s00500-020-05106-0.
7. A. Lančinskas, J. Žilinskas, P. Fernández, B. Pelegrín (2019). Ranking-based Discrete Optimization Algorithm for Asymmetric Competitive Facility Location. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2019), pp. 149−150. ISBN:978-1-4503-6748-6, DOI:10.1145/3319619.3321893
8. A. Lančinskas, P. Fernández, B. Pelegrín, J. Žilinskas (2019). Ranking-based algorithm for facility location with constraints. In: AIP Proceedings, vol. 2070. DOI:10.1063/1.5089997
9. P. Fernández, B. Pelegrín, A. Lančinskas, J. Žilinskas (2018). The Huff Versus the Pareto-Huff Customer Choice Rules in a Discrete Competitive Location Model. In: Computational Science and Its Applications (ICCSA 2018), vol. 10961 of Lecture Notes in Computer Science, pp. 583−592, DOI:https://doi.org/10.1007/978-3-319-95165-2_41
10. G. Miranda, A. Lančinskas, Y. González (2017). Single and multi-objective genetic algorithms for the container loading problem. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO17), pp. 291−292. ISBN:978-1-4503-4939-0, DOI:10.1145/3067695.3076085
11. E. Filatovas, A. Lančinskas, O. Kurasova, J. Žilinskas (2017). A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. Central European Journal of Operations Research, 25(4):859−878. ISSN:1435-246X, DOI:10.1007/s10100-016-0443-X
12. A. Lančinskas, P. Fernández, B. Pelegrín, J. Žilinskas (2017) Improving solution of discrete competitive facility location problems. Optimization Letters, 11(2):259−270. ISSN:1862-4472, DOI:10.1007/s11590-015-0930-3
    
13. A. Lančinskas, J. Žilinskas (2016). Preference-based Multi-Objective Single Agent Stochastic Search. In: Proceedings of the XIII Global Optimization Workshop (GOW'16), pp. 121−124. ISBN:978-989-20-6764-3.
14. A. Lančinskas, P. Fernández, B. Pelegrín, J. Žilinskas (2016) Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem. In: Advances in Stochastic and Deterministic Global Optimization, vol. 107 of the series Springer Optimization and Its Applications, 255−272. DOI:10.1007/978-3-319-29975-4_14
15. P. Fernández, B. Pelegrín, A. Lančinskas, J. Žilinskas (2017) New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior. Computers and Operation Research, 79:12−18. ISSN:0305-0548, DOI:http://dx.doi.org/10.1016/j.cor.2016.10.002
    
16. A. Lančinskas, P. Fernández, B. Pelegrín, J. Žilinskas (2016) Solution Of Discrete Competitive Facility Location Problem For Firm Expansion. Informatica, 27(2):451−462. ISSN:0868-4952,DOI: http://dx.doi.org/10.15388/Informatica.2016.94. [BibTex]
17. D. Evangelista, A. Zuccaro, A. Lančinskas, J. Žilinskas, M.R. Guarracino (2016) A web-oriented software for the optimization of pooled experiments in NGS for detection of rare mutations. BMC Research Notes, 9(111):1−7. ISSN:1756-0500, DOI:10.1186/s13104-016-1889-6. [BibTex]
18. E. Hendrix, A. Lančinskas (2015) On benchmarking stochastic global optimization algorithms. Informatica, 26(4):649−662. ISSN:0868-4952 [BibTex]
19. V. Tiešis, A. Lančinskas, V. Marcinkevičius (2015) Analysis of Genetic Risk Assessment Methods. Lietuvos matematikos rinkinys, 56:117−122. ISSN:0132-2818, DOI:10.15388/LMR.A.2015.19
20. A. Lančinskas, P.M. Ortigosa, J. Žilinskas (2015) Solution of Bi-objective Competitive Facility Location Problem Using Parallel Stochastic Search Algorithm. In: Proceedings of the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015), pp. 7−9. ISBN:978-84-608-2581-4.
21. A. Lančinskas, P.M. Ortigosa, and J. Žilinskas (2015) Parallel optimization algorithm for competitive facility location. Mathematical Modelling and Analysis, 20(5):619−640. ISSN 1392-6292, DOI:10.3846/13926292.2015.1088903
22. A. Lančinskas, J. Žilinskas (2014) Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location. In: Euro-Par 2014: Parallel Processing Workshops, vol. 8805 of Lecture Notes in Computer Science, pp. 71−82. ISBN:978-3-319-14324-8, DOI:10.1007/978-3-319-14325-5_7
23. R. Baronas, A. Lančinskas, A. Žilinskas (2014) Optimization of Bi-Layer Biosensors: Trade-off Between Sensitivity and Enzyme Volume. Baltic Journal of Modern Computing, 2(4):285−296. ISSN:2255-8942
24. J. Žilinskas, A. Lančinskas, M.R. Guarracino (2014) Application of Multi-Objective Optimization to Pooled Experiments of Next Generation Sequencing for Detection of Rare Mutations. PLoS ONE, 9(9):e104992. DOI:10.1371/journal.pone.0104992
25. A. Lančinskas, E.M.T. Hendrix, J. Žilinskas (2014) On Benchmarking Stochastic Global Optimization Algorithms. In: Proceedings of The XII Global Optimization Workshop (MAGO 2014), pp. 9−12.
26. A. Lančinskas, J. Žilinskas (2014) Parallel Multi-objective Memetic Algorithm for Competitive Facility Location. In: Parallel Processing and Applied Mathematics, vol. 8385 of Lecture Notes in Computer Science, pp. 354−363. ISSN:0302-9743, DOI:10.1007/978-3-642-55195-6_33
27. R. Baronas, J. Kulys, A. Lančinskas, A. Žilinskas (2014) Effect of Diffusion Limitations on the Multianalyte Determination from Biased Biosensor Response. Sensors, 14(3):4634−4656. ISSN:1424-8220, DOI:10.3390/s140304634
28. A. Lančinskas, P.M. Ortigosa, J. Žilinskas (2013) Multi-objective Single Agent Stochastic Search in Non-dominated Sorting Genetic Algorithm. Nonlinear Analysis: Modelling and Control, 18(3):293−313. ISSN:1392-5113
29. R. Baronas, J. Kulys, A. Žilinskas, A. Lančinskas, D. Baronas (2013) Optimization of the Multianalyte Determination with Biased Biosensor Response. Chemometrics and Inteligent Laboratory Systems, 126:108−116. ISSN:0169-7439, DOI:10.1016/j.chemolab.2013.05.003
30. A. Lančinskas, J. Žilinskas (2013) Solution of Multi-Objective Competitive Facility Location Problems Using Parallel NSGA-II on Large Scale Computing Systems. In: Applied Parallel and Scientific Computing, vol. 7782 of Lecture Notes in Computer Science, pp. 422−433. ISSN:0302-9743, DOI:10.1007/978-3-642-36803-5_31
31. A. Lančinskas, J. Žilinskas (2012) Approaches to Parallelize Pareto Ranking in NSGA-II Algorithm. In: Parallel Processing and Applied Mathematics, vol. 7204 of Lecture Notes in Computer Science, pp. 371−380. ISSN:0302-9743, DOI:10.1007/978-3-642-31500-8_38
32. A. Lančinskas, J. Žilinskas, P.M. Ortigosa (2011) Local Optimization in Global Multi-Objective Optimization Algorithms. In: 2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011), Salamanca, Spain, October 19−21, pp. 323−328. ISBN:978-1-4577-1122-0, DOI:10.1109/NaBIC.2011.6089613
33. A. Lančinskas, J. Žilinskas, P.M. Ortigosa (2010) Investigation of Parallel Particle Swarm Optimization Algorithm With Reduction of the Search Area. In: 2010 IEEE International Conference on Cluster Computing Workshops and Posters, Heraklion, Crete, Greece, September 20−24, pp. 1−5. ISBN:978-1-4244-8395-2, DOI:10.1109/CLUSTERWKSP.2010.5613108
34. A. Lančinskas, J. Žilinskas (2010) Methods for generation of random numbers in parallel stochastic algorithms for global optimization. Journal of Young Scientists, 2(27):118−122. ISSN:1648-8776
35. A. Lančinskas, V. Jadzgevičienė (2010) Visual Analysis of Questionnairy Data. Innovative Infotechnologies for Science, Business and Education, 1(8):8−11. ISSN:2029-1035

Presenations at Scientific Conferences

1. 12th International Workshop on Data Analysis Methods for Software Systems. Druskininkai, Lithuania, 2021 December 2−4 (poster presentation)
2. World Congress on Global Optimization 2021 (WCGO 2021). Athens, Greece, 2021 July 7−10 (online presentation)
3. 11th International Workshop on Data Analysis Methods for Software Systems. Druskininkai, Lithuania, 2019 November 28−30
4. The Genetic and Evolutionary Computation Conference (GECCO 2019). Prague, Czech Republic, 2019 July 13−17 (poster presentation)
5. 30th European Conference on Operational Research (EURO 2019). Dublin, Ireland, 2019 June 23−26
6. 10th International Workshop on Data Analysis Methods for Software Systems. Druskininkai, Lithuania, 2018 November 29 − December 1 (poster presentation)
7. XIV Global Optimization Workshop (LeGO 2018). Leiden, The Netherlands, 2018 September 18−21
8. 29th European Conference on Operational Research (EURO 2018). Valencia, Spain, 2018 July 8−11
9. Optimization 2017. Lisbon, Portugal, 2017 September 6−8
10. HiPEAC 2017 Conference. Stockholm, Sweden, 2017 January 23−25 (without presentation)
11. XIII Global Optimization Workshop (GOW'16). Braga, Portugal, 2016 September 4−8
12. HiPEAC 2016 Conference. Prague, Czech Republic, 2016 January 18−20 (poster presentation)
13. Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Cracow, Poland, 2015 September 10 (poster presentation)
14. Joint ORSC/EURO International Conference 2015 on Continuous Optimization. Shanghai, China, 2015 May 10−12
15. 6th Veszprem Optimization Conference: Advanced Algorithms (VOCAL2014). Veszprem, Hungary, 2014 December 14−17
16. 6th International Workshop "Data Analysis Methods for Software Systems". Druskininkai, Lithuania, 2014 December 4−6
17. XII Global Optimization Workshop (MAGO 2014). Malaga, Spain, 2014 September 1−4
18. First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto, Portugal, 2014 August 27−28
19. 20th Conference of the International Federation of Operational Research Societies (IFORS 2014). Barcelona, Spain, 2014 July 13−18
20. 5th International Seminar "Data Analysis Methods for Software Systems". Druskininkai, Lithuania, 2013 December 5−7 (poster presentation)
21. 22nd International Conference on Multiple Criteria Decision Making. Malaga, Spain, 2013 June 17−21
22. ComplexHPC Spring School 2013: Heterogeneous Computing − Impact on Algorithms. Uppsala, Sweden, 2013 June 3−7 (poster presentation)
23. COST Action IC0805 "Open Network for High-Performance Computing on Complex Environments" Working Groups Meeting. Madrid, Spain, 2013 April 15−16
24. 4th International Seminar "Data Analysis Methods for Software Systems". Druskininkai, Lithuania, 2012 December 6−8
25. 25th European Conference on Operational Research (EURO 2012). Vilnius, Lithuania, 2012 July 8−11
26. 2nd Conference of Junior Researchers "Tarpdalykiniai tyrimai fiziniuose ir technologiniuose moksluose". Vilnius, Lithuania, 2012 February 14
27. 2nd Workshop of COST Action IC0805 "Open Network for High-Performance Computing on Complex Environments". Timisoara, Romania, 2012 January 25−27
28. Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011). Salamanca, Spain, 2011 October 19−21
29. 4th Conference of Junior Researchers "Operacijų tyrimai versle, inžinerijoje ir informacinėse technologijose". Kaunas, Lithuania, 2011 September 30
30. ComplexHPC Spring School 2011: HPDC Middleware, Environments, and Tools. Amsterdam, The Netherlands, 2011 May 9−13 (poster presentation)
31. 1st Conference of Junior Researchers "Fizinių ir technologijos mokslų tarpdalykiniai taikymai". Vilnius, Lithuania, 2011 February 8
32. IEEE International Conference on Cluster Computing Workshops and Posters 2010. Heraklion, Crete, Greece, 2010 September 20−24
33. International Conference of Young Scientists. Šiauliai, Lithuania, 2010 April 29−30. 2nd International Conference on Innovative Information Technologies (IIT). Vilnius, Lithuania, 2008, October 16−18

@article{Lancinskas2016,
   author = {{Algirdas Lan\v{c}inskas, Pascual Fern\'{a}ndez, Blas Pelegr\'{i}n, Julius \v{Z}ilinskas},
   title = {Solution of Discrete Competitive Facility Location Problem for Firm Expansion},
   journal = {Informatica},
   volume = {27},
   number = {2},
   pages = {451--462},
   year = {2016}
}

@article{Evangelista2016,
   author = {Evangelista, Daniela and Zuccaro, Antonio and Lan\v{c}inskas, Algirdas and \v{Z}ilinskas, Julius and Guarracino, Mario Rosario},
   title = {A web-oriented software for the optimization of pooled experiments in NGS for detection of rare mutations},
   journal = {BMC Research Notes},
   volume = {9},
   number = {111},
   pages = {1--7},
   year = {2016}
}

@article{Hendrix2015,
   author = {Hendrix, Eligius and Lan\v{c}inskas, Algirdas},
   title = {On Benchmarking Stochastic Global Optimization Algorithms},
   journal = {Informatica},
   year = {2015},
   issn = {0868-4952}
}