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Fairness in Bio-inspired Optimization Research: A Prescription of
  Methodological Guidelines for Comparing Meta-heuristics

Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics

19 April 2020
A. Latorre
Daniel Molina
E. Osaba
Javier Del Ser
Francisco Herrera
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Papers citing "Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics"

3 / 3 papers shown
Title
A Tutorial on the Design, Experimentation and Application of
  Metaheuristic Algorithms to Real-World Optimization Problems
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
E. Osaba
Esther Villar-Rodriguez
Javier Del Ser
Antonio J. Nebro
Daniel Molina
A. Latorre
Ponnuthurai Nagaratnam Suganthan
Carlos A. Coello Coello
Francisco Herrera
59
257
0
04 Oct 2024
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic
  Algorithm for Evolutionary Multitasking
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
E. Osaba
Javier Del Ser
Aritz D. Martinez
J. Lobo
Francisco Herrera
36
30
0
08 Oct 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
35
26
0
09 Aug 2020
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