• 159 Citas
  • 7 Índice H
20072019
Los cambios que haya realizado en Pure se mostrarán aquí próximamente.

Resultado de la investigación 2007 2019

  • 159 Citas
  • 7 Índice H
  • 28 Conference contribution
  • 11 Article
  • 1 Paper
  • 1 Conference article
Filtro
Conference contribution
2019

An Study of Operator Design under an Adaptive approach for solving the Cross-docks Vehicle Routing Problem

Urtasun, J. M. & Montero, E., 1 jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2098-2105 8 p. 8790019. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Resultado de la investigación: Conference contribution

Docks
Vehicle routing
Vehicle Routing Problem
Local Search
Operator

A Prize Collecting problem applied to a Real Milk Collection problem in Chile

Montero, E., Canales, D., Paredes-Belmar, G. & Soto, R., 1 jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1415-1422 8 p. 8789999. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Resultado de la investigación: Conference contribution

Industry
Costs
Integer programming
Integer Programming
Metaheuristics

Improving Attack Detection of C4.5 using an Evolutionary Algorithm

Maldonado, J., Riff, M. C. & Montero, E., 1 jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2229-2235 7 p. 8790199. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Resultado de la investigación: Conference contribution

Intrusion detection
Intrusion Detection
Evolutionary algorithms
Evolutionary Algorithms
Attack
2018

A cooperative opposite-inspired learning strategy for ant-based algorithms

Rojas-Morales, N., Riff, M. C., Coello Coello, C. A. & Montero, E., 1 ene 2018, Swarm Intelligence - 11th International Conference, ANTS 2018, Proceedings. Blum, C., Reina, A., Dorigo, M., Birattari, M., Christensen, A. L. & Trianni, V. (eds.). Springer Verlag, p. 317-324 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11172 LNCS).

Resultado de la investigación: Conference contribution

Learning Strategies
Knapsack
Pheromone
Multidimensional Knapsack Problem
Benchmark

An Analysis of Parameters of Decomposition-Based MOEAs on Many-Objective Optimization

Montero, E. & Zapotecas-Martínez, S., 28 sep 2018, 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8477648

Resultado de la investigación: Conference contribution

Multi-objective Evolutionary Algorithm
Evolutionary algorithms
Decomposition
Decompose
Optimization

An effective simulated annealing for off-line robot motion planning

Figueroa, A., Montero, E. & Riff, M. C., 4 jun 2018, Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. IEEE Computer Society, Vol. 2017-November. p. 967-971 5 p.

Resultado de la investigación: Conference contribution

Motion planning
Simulated annealing
Mobile robots
Robotics
Robots

An evaluation of meta-heuristic approaches for improve the separation of multiple partial discharge sources and electrical noise

Montero, E., Medina, N. & Ardila-Rey, J., 4 jun 2018, Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. IEEE Computer Society, Vol. 2017-November. p. 1166-1173 8 p.

Resultado de la investigación: Conference contribution

Partial discharges
Source separation
Electric potential
2017
10 Citas (Scopus)

An overview of weighted and unconstrained scalarizing functions

Pescador-Rojas, M., Gómez, R. H., Montero, E., Rojas-Morales, N., Riff, M. C. & Coello Coello, C. A., 1 ene 2017, Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Proceedings. Schütze, O., Rudolph, G., Klamroth, K., Jin, Y., Trautmann, H., Grimme, C. & Wiecek, M. (eds.). Springer Verlag, p. 499-513 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10173 LNCS).

Resultado de la investigación: Conference contribution

Multi-objective Evolutionary Algorithm
Evolutionary algorithms
Evolutionary multiobjective Optimization
Mathematical programming
Multiobjective optimization
1 Cita (Scopus)

Bus Routing for emergency evacuations: The case of the Great Fire of Valparaiso

Vitali, J. L., Riff, M. C. & Montero, E., 5 jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2346-2353 8 p. 7969589

Resultado de la investigación: Conference contribution

Fires
Planning
Experiments

G-DMP: An algorithm without constraint relaxation to solve the train departure matching problem

Rojas, A., Montero, E. & Riff, M. C., 5 jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2382-2389 8 p. 7969593

Resultado de la investigación: Conference contribution

Costs
2016
3 Citas (Scopus)

Ants can learn from the opposite

Rojas-Morales, N., María-Cristina, R. R. & Montero, E., 20 jul 2016, GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference. Friedrich, T. (ed.). Association for Computing Machinery, Inc, p. 389-396 8 p.

Resultado de la investigación: Conference contribution

Constraint satisfaction problems
Function evaluation
3 Citas (Scopus)

Learning from the opposite: Strategies for Ants that solve multidimensional Knapsack problem

Rojas-Morales, N., Riff, R. M. C. & Montero, U. E., 14 nov 2016, 2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc., p. 193-200 8 p. 7743795

Resultado de la investigación: Conference contribution

Multidimensional Knapsack Problem
Knapsack
Learning Strategies
Search Space
Strategy
1 Cita (Scopus)

New bounds for Office Space Allocation using Tabu search

Castillo, F., Riff, M. C. & Montero, E., 20 jul 2016, GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference. Friedrich, T. (ed.). Association for Computing Machinery, Inc, p. 869-876 8 p.

Resultado de la investigación: Conference contribution

Tabu search
Combinatorial optimization
Tuning
2015
2 Citas (Scopus)

Google challenge: A hyperheuristic for the Machine Reassignment Problem

Hoffmann, R., Riff, M. C., Montero, E. & Rojas, N., 10 sep 2015, 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 846-853 8 p. 7256979

Resultado de la investigación: Conference contribution

Hyper-heuristics
Constrained optimization
Self-adaptation
Adaptive Strategies
Computational complexity

RAISTTP revisited to solve relaxed travel tournament problem

Montero, E. & Riff, M. C., 11 jul 2015, GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference. Silva, S. (ed.). Association for Computing Machinery, Inc, p. 121-128 8 p.

Resultado de la investigación: Conference contribution

1 Cita (Scopus)

Using anti-pheromone to identify core objects for multidimensional knapsack problems: A two-step ants based approach

Rojas, N., Montero, E. & Riffy, M. C., 11 jul 2015, GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. Silva, S. (ed.). Association for Computing Machinery, Inc, p. 1469-1470 2 p.

Resultado de la investigación: Conference contribution

Multidimensional Knapsack Problem
Pheromone
Ant Algorithm
Continue
Optimal Solution
2013
25 Citas (Scopus)

A new algorithm for reducing metaheuristic design effort

Riff, M. C. & Montero, E., 21 ago 2013, 2013 IEEE Congress on Evolutionary Computation, CEC 2013. p. 3283-3290 8 p. 6557972

Resultado de la investigación: Conference contribution

Metaheuristics
Tuning
Categorical
Simplicity
Genetic algorithms

Trading accuracy for simplicity in evolutionary algorithms

Riff, M. C. & Montero, E., 21 ago 2013, 2013 IEEE Congress on Evolutionary Computation, CEC 2013. p. 3125-3131 7 p. 6557951

Resultado de la investigación: Conference contribution

Evolutionary algorithms
Evolutionary Algorithms
Simplicity
Refining
Mathematical operators
2012
5 Citas (Scopus)

Are state-of-the-art fine-tuning algorithms able to detect a dummy parameter?

Montero, E., Riff, M. C., Pérez-Caceres, L. & Coello Coello, C. A., 24 sep 2012, Parallel Problem Solving from Nature, PPSN XII - 12th International Conference, Proceedings. PART 1 ed. p. 306-315 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7491 LNCS, n.º PART 1).

Resultado de la investigación: Conference contribution

Tuning
Metaheuristics
Calibration
Necessary
Operator
2010
5 Citas (Scopus)

An evaluation of off-line calibration techniques for evolutionary algorithms

Montero, E., Riff, M. C. & Neveu, B., 27 ago 2010, Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10. p. 299-300 2 p.

Resultado de la investigación: Conference contribution

Evolutionary algorithms
Evolutionary Algorithms
Tuning
Calibration
Metaheuristics
3 Citas (Scopus)

C-Strategy: A dynamic adaptive strategy for the CLONALG algorithm

Riff, M. C., Montero, E. & Neveu, B., 9 nov 2010, Transactions on Computational Science VIII. Gavrilova, M. L. & Tan, C. J. K. (eds.). p. 41-55 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6260 LNCS).

Resultado de la investigación: Conference contribution

Adaptive Strategies
Adaptive Techniques
Immune Algorithm
Travelling salesman problems
Reinforcement Learning
4 Citas (Scopus)

New requirements for off-line parameter calibration algorithms

Montero, E., Riff, M. C. & Neveu, B., 1 dic 2010, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 5586156

Resultado de la investigación: Conference contribution

Evolutionary algorithms
Evolutionary Algorithms
Calibration
Line
Requirements
2009
1 Cita (Scopus)

A dynamic adaptive calibration of the CLONALG immune algorithm

Riff, M. C. & Montero, E., 1 dic 2009, Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems, ICAIS 2009. p. 187-193 7 p. 5329498

Resultado de la investigación: Conference contribution

Calibration
Traveling salesman problem
Reinforcement learning
Costs
1 Cita (Scopus)

Managing diversity on an AIS that solves 3-colouring problems

Riff, M. C. & Montero, E., 29 oct 2009, Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings. p. 248-259 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5666 LNCS).

Resultado de la investigación: Conference contribution

Coloring
Colouring
Immune Algorithm
Directed Network
Artificial Immune System
2008
4 Citas (Scopus)

Improving MMAS using parameter control

Montero, E., Riff, M. C. & Basterrica, D., 14 nov 2008, 2008 IEEE Congress on Evolutionary Computation, CEC 2008. p. 4006-4010 5 p. 4631343

Resultado de la investigación: Conference contribution

Control Parameter
Metaheuristics
Evolutionary algorithms
Control Strategy
Evolutionary Algorithms
6 Citas (Scopus)

Self-calibrating strategies for evolutionary approaches that solve constrained combinatorial problems

Montero, E. & Riff, M. C., 9 jun 2008, Foundations of Intelligent Systems - 17th International Symposium, ISMIS 2008, Proceedings. p. 262-267 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4994 LNAI).

Resultado de la investigación: Conference contribution

Constraint satisfaction problems
Combinatorial Problems
Evolutionary algorithms
Tuning
Constraint Satisfaction Problem
2007
2 Citas (Scopus)

Calibrating strategies for evolutionary algorithms

Montero, E. & Riff, M. C., 1 dic 2007, 2007 IEEE Congress on Evolutionary Computation, CEC 2007. p. 394-399 6 p. 4424498

Resultado de la investigación: Conference contribution

Evolutionary algorithms
Evolutionary Algorithms
Adaptive Techniques
Random Parameters
Reinforcement Learning

NAIS: A calibrated immune inspired algorithm to solve binary constraint satisfaction problems

Zuñiga, M., Riff, M. C. & Montero, E., 1 dic 2007, Artificial Immune Systems - 6th International Conference, ICARIS 2007, Proceedings. p. 25-34 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4628 LNCS).

Resultado de la investigación: Conference contribution

Constraint satisfaction problems
Constraint Satisfaction Problem
Binary
Artificial Immune System
Immune system