Julio Alberto López-Gómez

Orcid: 0000-0001-6291-6637

According to our database1, Julio Alberto López-Gómez authored at least 16 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms.
Integr. Comput. Aided Eng., 2026

Towards equitable rail service allocation through fairness-oriented timetabling in liberalized markets.
Comput. Ind. Eng., 2026

2025
An approach based on metaheuristic algorithms to the timetabling problem in deregulated railway markets.
CoRR, April, 2025

Bio-inspired algorithms for the characterization of excellent performance in handball players: A data-driven methodology.
Expert Syst. Appl., 2025

A knowledge-driven fuzzy logic framework for supporting decision-making entities.
Appl. Soft Comput., 2025

2024
The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach.
CoRR, 2024

2023
The Edge Application of Machine Learning Techniques for Fault Diagnosis in Electrical Machines.
Sensors, March, 2023

A prediction and behavioural analysis of machine learning methods for modelling travel mode choice.
CoRR, 2023

2022
A comparison of different soft-computing techniques for the evaluation of handball goalkeepers.
Soft Comput., 2022

A Feature-Weighting Approach Using Metaheuristic Algorithms to Evaluate the Performance of Handball Goalkeepers.
IEEE Access, 2022

2021
Memetic algorithms for training feedforward neural networks: an approach based on gravitational search algorithm.
Neural Comput. Appl., 2021

A data-driven approach to predicting the most valuable player in a game.
Comput. Math. Methods, 2021

2019
A bilevel approach to enhance prefixed traffic signal optimization.
Eng. Appl. Artif. Intell., 2019

A Memetic Chaotic Gravitational Search Algorithm for unconstrained global optimization problems.
Appl. Soft Comput., 2019

2017
On the Performance of Classic and Deep Neural Models in Image Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

A cooperative Brain Storm Optimization Algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017


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