Algirdas Lancinskas

According to our database, Algirdas Lancinskas authored at least 19 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A discrete competitive facility location model with proportional and binary rules sequentially applied.

Pascual Fernández, Algirdas Lancinskas, Blas Pelegrín, Julius Zilinskas

Optim. Lett., May, 2023

2021

Exact and heuristic solutions of a discrete competitive location model with Pareto-Huff customer choice rule.

Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas

J. Comput. Appl. Math., 2021

2020

Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations.

Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín

Soft Comput., 2020

A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule.

Pascual Fernández, Algirdas Lancinskas, Blas Pelegrín, Julius Zilinskas

Informatica, 2020

2019

Ranking-based discrete optimization algorithm for asymmetric competitive facility location.

Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

The Huff Versus the Pareto-Huff Customer Choice Rules in a Discrete Competitive Location Model.

Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017

Improving solution of discrete competitive facility location problems.

Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas

Optim. Lett., 2017

New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior.

Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas

Comput. Oper. Res., 2017

A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search.

Ernestas Filatovas, Algirdas Lancinskas, Olga Kurasova, Julius Zilinskas

Central Eur. J. Oper. Res., 2017

Single and multi-objective genetic algorithms for the container loading problem.

Gara Miranda, Algirdas Lancinskas, Yanira González

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Solution of Discrete Competitive Facility Location Problem for Firm Expansion.

Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas

Informatica, 2016

Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem.

Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015

On Benchmarking Stochastic Global Optimization Algorithms.

Eligius M. T. Hendrix, Algirdas Lancinskas

Informatica, 2015

2014

Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response.

Romas Baronas, Juozas Kulys, Algirdas Lancinskas, Antanas Zilinskas

Sensors, 2014

Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location.

Algirdas Lancinskas, Pilar Martínez Ortigosa, Julius Zilinskas

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2013

Parallel Multi-objective Memetic Algorithm for Competitive Facility Location.

Algirdas Lancinskas, Julius Zilinskas

Proceedings of the Parallel Processing and Applied Mathematics, 2013

2012

Solution of Multi-Objective Competitive Facility Location Problems Using Parallel NSGA-II on Large Scale Computing Systems.

Algirdas Lancinskas, Julius Zilinskas

Proceedings of the Applied Parallel and Scientific Computing, 2012

2011

Approaches to Parallelize Pareto Ranking in NSGA-II Algorithm.

Algirdas Lancinskas, Julius Zilinskas

Proceedings of the Parallel Processing and Applied Mathematics, 2011

Local optimization in global Multi-Objective Optimization Algorithms.

Algirdas Lancinskas, Julius Zilinskas, Pilar Martínez Ortigosa

Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011