• 150 Citations
  • 7 h-Index
20072019
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Research Output 2007 2019

  • 150 Citations
  • 7 h-Index
  • 28 Conference contribution
  • 11 Article
  • 1 Paper
  • 1 Conference article
2019

A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on ϵ-Dominance

Menchaca-Mendez, A., Montero, E., Antonio, L. M., Zapotecas-Martinez, S., Coello Coello, C. A. C. & Riff, M. C., 1 Jan 2019, In : IEEE Access. 7, p. 18267-18283 17 p., 8637162.

Research output: Contribution to journalArticle

Evolutionary algorithms
Multiobjective optimization

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).

Research output: Chapter in Book/Report/Conference proceedingConference 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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Industry
Costs
Integer programming
Integer Programming
Metaheuristics

Effective collaborative strategies to setup tuners

Montero, E. & Riff, M. C., 1 Jan 2019, In : Soft Computing.

Research output: Contribution to journalArticle

Tuners
Search Space
Parameter Space
Tuning
Configuration

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).

Research output: Chapter in Book/Report/Conference proceedingConference 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 Jan 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).

Research output: Chapter in Book/Report/Conference proceedingConference 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

Research output: Chapter in Book/Report/Conference proceedingConference 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.

Research output: Chapter in Book/Report/Conference proceedingConference 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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Partial discharges
Source separation
Electric potential

An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm with Adaptive Resource Allocation

Menchaca-Méndez, A., Montero, E. & Zapotecas-Martínez, S., 1 Jan 2018, In : IEEE Access. 6, p. 63382-63401 20 p., 8502038.

Research output: Contribution to journalArticle

Resource allocation
Costs
2 Citations (Scopus)

Tuners review: How crucial are set-up values to find effective parameter values?

Montero, E., Riff, M. C. & Rojas-Morales, N., 1 Nov 2018, In : Engineering Applications of Artificial Intelligence. 76, p. 108-118 11 p.

Research output: Contribution to journalArticle

Tuners
Tuning
Calibration
2017
10 Citations (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 Jan 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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-objective Evolutionary Algorithm
Evolutionary algorithms
Evolutionary multiobjective Optimization
Mathematical programming
Multiobjective optimization
7 Citations (Scopus)

A survey and classification of Opposition-Based Metaheuristics

Rojas-Morales, N., Riff Rojas, M. C. & Montero Ureta, E., 1 Aug 2017, In : Computers and Industrial Engineering. 110, p. 424-435 12 p.

Research output: Contribution to journalArticle

1 Citation (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

Research output: Chapter in Book/Report/Conference proceedingConference 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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Costs
2016
3 Citations (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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Constraint satisfaction problems
Function evaluation
3 Citations (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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multidimensional Knapsack Problem
Knapsack
Learning Strategies
Search Space
Strategy
1 Citation (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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tabu search
Combinatorial optimization
Tuning
2015
1 Citation (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

Research output: Chapter in Book/Report/Conference proceedingConference 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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multidimensional Knapsack Problem
Pheromone
Ant Algorithm
Continue
Optimal Solution
2014
25 Citations (Scopus)

A beginner's guide to tuning methods

Montero, E., Riff, M. C. & Neveu, B., 1 Jan 2014, In : Applied Soft Computing Journal. 17, p. 39-51 13 p.

Research output: Contribution to journalArticle

Tuning
Genetic algorithms
3 Citations (Scopus)

A more efficient selection sche in iSMS-EMOA

Menchaca-Mendez, A., Montero, E., Riff, M. C. & Coello, C. A. C., 1 Jan 2014, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8864, p. 371-380 10 p.

Research output: Contribution to journalArticle

Multi-objective Evolutionary Algorithm
Evolutionary algorithms
Degradation
Metric
1 Citation (Scopus)

Evaluating components of artificial immune algorithms: A performance-aware method based on evolutionary calibrator

Montero, E. & Riff, M. C., 1 Jan 2014, In : Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2014-January, January, p. 3822-3827 6 p., 6974526.

Research output: Contribution to journalConference article

7 Citations (Scopus)
Tuners
Metaheuristics
Configuration
Evaluation
Evaluate
2013
24 Citations (Scopus)

A new algorithm for reducing metaheuristic design effort

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Metaheuristics
Tuning
Categorical
Simplicity
Genetic algorithms

New components with on-line control to improve harmony search

Rojas, N., Riff, M. C., Bonnaire, X. & Montero, E., 1 Dec 2013, p. 538-544. 7 p.

Research output: Contribution to conferencePaper

Costs
3 Citations (Scopus)

Reducing calibration effort for clonal selection based algorithms: A reinforcement learning approach

Riff, M. C., Montero, E. & Neveu, B., 1 Mar 2013, In : Knowledge-Based Systems. 41, p. 54-67 14 p.

Research output: Contribution to journalArticle

Reinforcement learning
Calibration
Combinatorial optimization
Tuning

Trading accuracy for simplicity in evolutionary algorithms

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evolutionary algorithms
Evolutionary Algorithms
Simplicity
Refining
Mathematical operators
2012
5 Citations (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, no. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tuning
Metaheuristics
Calibration
Necessary
Operator
2011
18 Citations (Scopus)

On-the-fly calibrating strategies for evolutionary algorithms

Montero, E. & Riff, M. C., 1 Feb 2011, In : Information Sciences. 181, 3, p. 552-566 15 p.

Research output: Contribution to journalArticle

Evolutionary algorithms
Evolutionary Algorithms
Adaptive Techniques
Evolutionary Computation
Reinforcement Learning
2010
9 Citations (Scopus)

A graph-based immune-inspired constraint satisfaction search

Riff, M. C., Zúñiga, M. & Montero, E., 30 Jun 2010, In : Neural Computing and Applications. 19, 8, p. 1133-1142 10 p.

Research output: Contribution to journalArticle

Constraint satisfaction problems
Coloring
Evolutionary algorithms
Calibration
5 Citations (Scopus)

An evaluation of off-line calibration techniques for evolutionary algorithms

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evolutionary algorithms
Evolutionary Algorithms
Tuning
Calibration
Metaheuristics
3 Citations (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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

New requirements for off-line parameter calibration algorithms

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

A dynamic adaptive calibration of the CLONALG immune algorithm

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Calibration
Traveling salesman problem
Reinforcement learning
Costs
1 Citation (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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Coloring
Colouring
Immune Algorithm
Directed Network
Artificial Immune System
2008
4 Citations (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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Control Parameter
Metaheuristics
Evolutionary algorithms
Control Strategy
Evolutionary Algorithms
6 Citations (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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

Calibrating strategies for evolutionary algorithms

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 Dec 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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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