Elizabeth Montero

Orcid: 0000-0002-1690-3875

According to our database1, Elizabeth Montero authored at least 55 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Understanding Search Trajectories in Parameter Tuning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
A bi-objective time-dependent vehicle routing problem with delivery failure probabilities.
Comput. Ind. Eng., November, 2023

A Constraint Programming Formulation of the Multi-Mode Resource-Constrained Project Scheduling Problem for the Flexible Job Shop Scheduling Problem.
IEEE Access, 2023

Multi-Objective Location Problem for Bank Branches.
IEEE Access, 2023

Parameter Optimization on a Tessellation Model for Crack Pattern Simulation.
IEEE Access, 2023

An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Vehicle routing for milk collection with gradual blending: A case arising in Chile.
Eur. J. Oper. Res., 2022

An algorithm to compute time-balanced clusters for the delivery logistics problem.
Eng. Appl. Artif. Intell., 2022

2021
Opposition-Inspired synergy in sub-colonies of ants: The case of Focused Ant Solver.
Knowl. Based Syst., 2021

An Ant-based approach to solve the Electric Vehicle Routing Problem with Time Windows and Partial Recharges.
Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021

A Multi-objective Iterated Local Search Approach to Solve the Insular Traveling Salesman Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Effective collaborative strategies to setup tuners.
Soft Comput., 2020

Modelling parameter configuration spaces with local optima networks.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

An Iterated Local Search Approach to Solve the Milk Collection Problem With Blending.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$ -Dominance.
IEEE Access, 2019

Application of Meta-Heuristic Approaches in the Spectral Power Clustering Technique (SPCT) to Improve the Separation of Partial Discharge and Electrical Noise Sources.
IEEE Access, 2019

An Study of Operator Design under an Adaptive approach for solving the Cross-docks Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Prize Collecting problem applied to a Real Milk Collection problem in Chile.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Improving Attack Detection of C4.5 using an Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Tuners review: How crucial are set-up values to find effective parameter values?
Eng. Appl. Artif. Intell., 2018

An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation.
IEEE Access, 2018

An Analysis of Parameters of Decomposition-Based MOEAs on Many-Objective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Cooperative Opposite-Inspired Learning Strategy for Ant-Based Algorithms.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
A survey and classification of Opposition-Based Metaheuristics.
Comput. Ind. Eng., 2017

An Evaluation of Meta-Heuristic Approaches for Improve the Separation of Multiple Partial Discharge Sources and Electrical Noise.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

An Effective Simulated Annealing for Off-Line Robot Motion Planning.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

An Overview of Weighted and Unconstrained Scalarizing Functions.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Bus Routing for emergency evacuations: The case of the Great Fire of Valparaiso.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

G-DMP: An algorithm without constraint relaxation to solve the train departure matching problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Ants can Learn from the Opposite.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

New Bounds for Office Space Allocation using Tabu Search.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Learning from the opposite: Strategies for Ants that solve multidimensional Knapsack problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Using Anti-pheromone to Identify Core Objects for Multidimensional Knapsack Problems: A Two-step Ants based Approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Collaborative Strategy to Reduce Initial Setup Requirements of ParamILS using EvoCa.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

RAIS<sub>TTP</sub> Revisited to Solve Relaxed Travel Tournament Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Google challenge: A hyperheuristic for the Machine Reassignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A beginner's guide to tuning methods.
Appl. Soft Comput., 2014

Evaluating components of artificial immune algorithms: A Performance-aware Method based on Evolutionary Calibrator.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using Tuners.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

A More Efficient Selection Scheme in iSMS-EMOA.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

2013
Reducing calibration effort for clonal selection based algorithms: A reinforcement learning approach.
Knowl. Based Syst., 2013

New Components with On-Line Control to Improve Harmony Search.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

A new algorithm for reducing metaheuristic design effort.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Trading accuracy for simplicity in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Are State-of-the-Art Fine-Tuning Algorithms Able to Detect a Dummy Parameter?
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011
On-the-fly calibrating strategies for evolutionary algorithms.
Inf. Sci., 2011

2010
C-Strategy: A Dynamic Adaptive Strategy for the CLONALG Algorithm.
Trans. Comput. Sci., 2010

A graph-based immune-inspired constraint satisfaction search.
Neural Comput. Appl., 2010

An evaluation of off-line calibration techniques for evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

New requirements for off-line parameter calibration algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Managing Diversity on an AIS That Solves 3-Colouring Problems.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

2008
Self-calibrating Strategies for Evolutionary Approaches that Solve Constrained Combinatorial Problems.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Improving MMAS using parameter control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

Calibrating strategiesfor evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007


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