Algirdas Lancinskas

Orcid: 0000-0002-9403-4978

According to our database1, Algirdas Lancinskas authored at least 20 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Population-based algorithm for discrete facility location with ranking of candidate locations.
J. Comput. Appl. Math., 2025

2023
A discrete competitive facility location model with proportional and binary rules sequentially applied.
Optim. Lett., May, 2023

2021
Exact and heuristic solutions of a discrete competitive location model with Pareto-Huff customer choice rule.
J. Comput. Appl. Math., 2021

2020
Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations.
Soft Comput., 2020

A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule.
Informatica, 2020

2019
Ranking-based discrete optimization algorithm for asymmetric competitive facility location.
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.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017
Improving solution of discrete competitive facility location problems.
Optim. Lett., 2017

New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior.
Comput. Oper. Res., 2017

A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search.
Central Eur. J. Oper. Res., 2017

Single and multi-objective genetic algorithms for the container loading problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Solution of Discrete Competitive Facility Location Problem for Firm Expansion.
Informatica, 2016

Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015
On Benchmarking Stochastic Global Optimization Algorithms.
Informatica, 2015

2014
Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response.
Sensors, 2014

Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2013
Parallel Multi-objective Memetic Algorithm for Competitive Facility Location.
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.
Proceedings of the Applied Parallel and Scientific Computing, 2012

2011
Approaches to Parallelize Pareto Ranking in NSGA-II Algorithm.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

Local optimization in global Multi-Objective Optimization Algorithms.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011


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