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

Resultado de la investigación 2007 2019

  • 157 Citas
  • 7 Índice H
  • 28 Conference contribution
  • 11 Article
  • 1 Paper
  • 1 Conference article
Filtro
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 ene 2019, En : IEEE Access. 7, p. 18267-18283 17 p., 8637162.

Resultado de la investigación: Article

Evolutionary algorithms
Multiobjective optimization

Effective collaborative strategies to setup tuners

Montero, E. & Riff, M. C., 1 ene 2019, En : Soft Computing.

Resultado de la investigación: Article

Tuners
Search Space
Parameter Space
Tuning
Configuration
2018

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

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

Resultado de la investigación: Article

Resource allocation
Costs
3 Citas (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, En : Engineering Applications of Artificial Intelligence. 76, p. 108-118 11 p.

Resultado de la investigación: Article

Tuners
Tuning
Calibration
2017
7 Citas (Scopus)

A survey and classification of Opposition-Based Metaheuristics

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

Resultado de la investigación: Article

2014
27 Citas (Scopus)

A beginner's guide to tuning methods

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

Resultado de la investigación: Article

Tuning
Genetic algorithms
3 Citas (Scopus)

A more efficient selection sche in iSMS-EMOA

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

Resultado de la investigación: Article

Multi-objective Evolutionary Algorithm
Evolutionary algorithms
Degradation
Metric
7 Citas (Scopus)
Tuners
Metaheuristics
Configuration
Evaluation
Evaluate
2013
3 Citas (Scopus)

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

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

Resultado de la investigación: Article

Reinforcement learning
Calibration
Combinatorial optimization
Tuning
2011
19 Citas (Scopus)

On-the-fly calibrating strategies for evolutionary algorithms

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

Resultado de la investigación: Article

Evolutionary algorithms
Evolutionary Algorithms
Adaptive Techniques
Evolutionary Computation
Reinforcement Learning
2010
10 Citas (Scopus)

A graph-based immune-inspired constraint satisfaction search

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

Resultado de la investigación: Article

Constraint satisfaction problems
Coloring
Evolutionary algorithms
Calibration