Staff

Positions

• Vilnius University
  • Lecturer at Faculty of Mathematics and Informatics (from 2015)
  • Researcher at Institute of Mathematics and Informatics (from 2014)
  • Junior Researcher at Institute of Mathematics and Informatics (2012−2014)
  • Junior Researcher at Faculty of Mathematics and Informatics (2011−2015)

• Lithuanian University of Educational Sciences
  • Lecturer at Faculty of Science and Technology (2011−2017)
  • Head of Informatics Laboratory (2008−2011)
  • Assistant in Informatics Laboratory (2006−2008)

Qualification

•  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

• ERASMUS lecturing visit at the University of Malaga, 2014 September 4−9
  • a cycle of lectures on global and multi-objective optimization and its parallelization has been given

• 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

• HPC-Europa2 research visit at Edinburgh Parallel Computing Centre (EPCC). Edinburgh, United Kingdom, 2011 May 18 − August 10

• ERASMUS studying visit at University of Almeria, Spain, 2010 September 24 − December 23

• Summer School on Modern Data Mining Technologies. Druskininkai, Lithuania, 2007 September 9−15

Research Projects

• Member of the research group of the project "Creation and development of algorithms for global optimization"
  • Funded by Research Council of Lithuania and hosted by Vilnius University (2014−2016)

• Member of the research group of the project "Nonconvex multiobjective optimization: methods and algorithms"
  • Funded by Research Council of Lithuania and hosted by Vilnius University (2012−2014)

• Member of the research group of the project "Developing computational techniques, algorithms, and tools for efficient simulation and optimization of biosensors of complex geometry"
  • funded by the European Social Fund under the Global Grant measure "Support to Research of Scientists and Other Researchers"
  • hosted by Vilnius University (2011−2015)

• Member of the research group 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
  • hosted by University of Murcia (Spain)

• Member of the research group 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
  • hosted by University of Murcia (Spain)

Professional Activities

• COST Action AC15140: ImAppNIO − Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice
  • Member of the management committee (from 2016)

• COST Action IC1305: NESUS − Network for Sustainable Ultrascale Computing
  
  • Member of the management committee (from 2014)

• HiPEAC − European Network of Excellence on High Performance and Embedded Architecture and Compilation
  • Affiliated member (from 2013)

• The Association of European Operational Research Societies (EURO)
  • Member of EUROPT − the working group on Continuous Optimization

• Member of conference program committees
  • 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
  • Journal of Global Optimization
  • Optimization Letters
  • Central European Journal of Computer Science
  • Open Engineering (Central European Journal of Engineering)
  • Informatica
  • Baltic Journal of Modern Computing
  • Nonlinear Analysis: Modelling and Control

Scientific Publications

Publications with VU Institute of Data Science and Digital Technologies & Institute of Mathematics and Informatics affiliation

Forthcoming 

• A. Lančinskas, J. Žilinskas. Preference-based Multi-Objective Single Agent Stochastic Search. To appear in Proceedings of The XIII Global Optimization Workshop

• E. Filatovas, A. Lančinskas, O. Kurasova, J. Žilinskas (2016). A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. To appear in Central European Journal of Operations Research. ISSN:1435-246X, DOI:10.1007/s10100-016-0443-X

Published 

1. 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
   

2. 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
   

3. Pascual Fernández, Blas Pelegrín, Algirdas Lančinskas, Julius 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
   

4. 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
   

5. 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

6. E. Hendrix, A. Lančinskas (2015) On benchmarking stochastic global optimization algorithms. Informatica, 26(4):649−662. ISSN:0868-4952

7. 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

8. 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.

9. 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

10. 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

11. 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

12. 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

13. 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.

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. A. Lančinskas, V. Jadzgevičienė (2010) Visual Analysis of Questionnairy Data. Innovative Infotechnologies for Science, Business and Education, 1(8):8−11. ISSN:2029-1035

Scientific Conferences

1. Optimization 2017. Lisbon, Portugal, 2017 September 6−8

2. HiPEAC 2017 Conference. Stockholm, Sweden, 2017 January 23−25 (without presentation)

3. XIII Global Optimization Workshop (GOW'16). Braga, Portugal, 2016 September 4−8

4. HiPEAC 2016 Conference. Prague, Czech Republic, 2016 January 18−20 (poster presentation)

5. Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Cracow, Poland, 2015 September 10 (poster presentation)

6. Joint ORSC/EURO International Conference 2015 on Continuous Optimization. Shanghai, China, 2015 May 10−12

7. 6th Veszprem Optimization Conference: Advanced Algorithms (VOCAL2014). Veszprem, Hungary, 2014 December 14−17

8. 6th International Workshop "Data Analysis Methods for Software Systems". Druskininkai, Lithuania, 2014 December 4−6

9. XII Global Optimization Workshop (MAGO 2014). Malaga, Spain, 2014 September 1−4

10. First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto, Portugal, 2014 August 27−28

11. 20th Conference of the International Federation of Operational Research Societies (IFORS 2014). Barcelona, Spain, 2014 July 13−18

12. 5th International Seminar "Data Analysis Methods for Software Systems". Druskininkai, Lithuania, 2013 December 5−7 (poster presentation)

13. 22nd International Conference on Multiple Criteria Decision Making. Malaga, Spain, 2013 June 17−21

14. ComplexHPC Spring School 2013: Heterogeneous Computing − Impact on Algorithms. Uppsala, Sweden, 2013 June 3−7 (poster presentation)

15. COST Action IC0805 "Open Network for High-Performance Computing on Complex Environments" Working Groups Meeting. Madrid, Spain, 2013 April 15−16

16. 4th International Seminar "Data Analysis Methods for Software Systems". Druskininkai, Lithuania, 2012 December 6−8

17. 25th EURO Conference on Operational Research. Vilnius, Lithuania, 2012 July 8−11

18. 2nd Conference of Junior Researchers "Tarpdalykiniai tyrimai fiziniuose ir technologiniuose moksluose". Vilnius, Lithuania, 2012 February 14

19. 2nd Workshop of COST Action IC0805 "Open Network for High-Performance Computing on Complex Environments". Timisoara, Romania, 2012 January 25−27

20. Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011). Salamanca, Spain, 2011 October 19−21

21. 4th Conference of Junior Researchers "Operacijų tyrimai versle, inžinerijoje ir informacinėse technologijose". Kaunas, Lithuania, 2011 September 30

22. ComplexHPC Spring School 2011: HPDC Middleware, Environments, and Tools. Amsterdam, The Netherlands, 2011 May 9−13 (poster presentation)

23. 1st Conference of Junior Researchers "Fizinių ir technologijos mokslų tarpdalykiniai taikymai". Vilnius, Lithuania, 2011 February 8

24. IEEE International Conference on Cluster Computing Workshops and Posters 2010. Heraklion, Crete, Greece, 2010 September 20−24

25. 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

Ph.D. Supervision

Sathuta Piripun Sellapperuma

• Subject:
• Period of study: 1^st November 2023–31^st October 2027
• Science field: Informatics Engineering (T 007)
• The title of Thesis: A Multi Agent System Solution for Facility Location Problems for Firm Expansion
• Defended: