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ORCIDAlgirdas Lancinskas
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2020 – today
- 2025
[j11]Algirdas Lancinskas
, Julius Zilinskas, Pascual Fernández, Blas Pelegrín:
Population-based algorithm for discrete facility location with ranking of candidate locations. J. Comput. Appl. Math. 457: 116304 (2025)- 2023
- [j10]Pascual Fernández, Algirdas Lancinskas, Blas Pelegrín, Julius Zilinskas:
A discrete competitive facility location model with proportional and binary rules sequentially applied. Optim. Lett. 17(4): 867-877 (2023) - 2021
- [j9]Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas:
Exact and heuristic solutions of a discrete competitive location model with Pareto-Huff customer choice rule. J. Comput. Appl. Math. 385: 113200 (2021) - 2020
- [j8]Pascual Fernández, Algirdas Lancinskas, Blas Pelegrín, Julius Zilinskas:
A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule. Informatica 31(2): 205-224 (2020) - [j7]Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín:
Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations. Soft Comput. 24(23): 17705-17713 (2020)
2010 – 2019
- 2019
- [c8]Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín:
Ranking-based discrete optimization algorithm for asymmetric competitive facility location. GECCO (Companion) 2019: 149-150 - 2018
- [c7]Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas:
The Huff Versus the Pareto-Huff Customer Choice Rules in a Discrete Competitive Location Model. ICCSA (2) 2018: 583-592 - 2017
- [j6]Ernestas Filatovas, Algirdas Lancinskas, Olga Kurasova, Julius Zilinskas:
A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. Central Eur. J. Oper. Res. 25(4): 859-878 (2017) - [j5]Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas:
New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior. Comput. Oper. Res. 79: 12-18 (2017) - [j4]Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas:
Improving solution of discrete competitive facility location problems. Optim. Lett. 11(2): 259-270 (2017) - [c6]Gara Miranda, Algirdas Lancinskas, Yanira González:
Single and multi-objective genetic algorithms for the container loading problem. GECCO (Companion) 2017: 291-292 - 2016
- [j3]Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas:
Solution of Discrete Competitive Facility Location Problem for Firm Expansion. Informatica 27(2): 451-462 (2016) - [p1]Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas:
Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem. Advances in Stochastic and Deterministic Global Optimization 2016: 255-272 - 2015
- [j2]Eligius M. T. Hendrix, Algirdas Lancinskas:
On Benchmarking Stochastic Global Optimization Algorithms. Informatica 26(4): 649-662 (2015) - 2014
- [j1]Romas Baronas, Juozas Kulys, Algirdas Lancinskas, Antanas Zilinskas:
Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response. Sensors 14(3): 4634-4656 (2014) - [c5]Algirdas Lancinskas, Pilar Martínez Ortigosa, Julius Zilinskas:
Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location. Euro-Par Workshops (1) 2014: 71-82 - 2013
- [c4]Algirdas Lancinskas, Julius Zilinskas:
Parallel Multi-objective Memetic Algorithm for Competitive Facility Location. PPAM (2) 2013: 354-363 - 2012
- [c3]Algirdas Lancinskas, Julius Zilinskas:
Solution of Multi-Objective Competitive Facility Location Problems Using Parallel NSGA-II on Large Scale Computing Systems. PARA 2012: 422-433 - 2011
- [c2]Algirdas Lancinskas, Julius Zilinskas, Pilar Martínez Ortigosa:
Local optimization in global Multi-Objective Optimization Algorithms. NaBIC 2011: 323-328 - [c1]Algirdas Lancinskas, Julius Zilinskas:
Approaches to Parallelize Pareto Ranking in NSGA-II Algorithm. PPAM (2) 2011: 371-380
Coauthor Index
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