Rolando Armas

According to our database, Rolando Armas authored at least 13 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Continual learning, deep reinforcement learning, and microcircuits: a novel method for clever game playing.

Oscar Chang, Leo Thomas Ramos, Manuel Eugenio Morocho Cayamcela, Rolando Armas, Luis Zhinin-Vera

Multim. Tools Appl., January, 2025

2024

A multi-objective evolutionary approach for the electric vehicle charging stations problem.

Saúl Zapotecas Martínez, Rolando Armas, Abel García-Nájera

Expert Syst. Appl., 2024

2023

Visual Analytic of Traffic Simulation Data: A Review.

Christopher Almachi, Rolando Armas, Erick Cuenca

Proceedings of the Smart Cities - 6th Ibero-American Congress, 2023

2022

Can the Price of BTC Bitcoin Be Forecast Successfully with NARX Neural Networks?

Carlos Montenegro, Rolando Armas

Proceedings of the Information Systems and Technologies, 2022

Evolutionary bi-objective optimization for the electric vehicle charging stand infrastructure problem.

Rolando Armas, Hernán E. Aguirre, Daniel Orellana

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

A Data Analytics Strategy to Identify mHealth Apps Quality Improvements. A Case Study.

Carlos Montenegro, Rolando Armas, Andrés Larco, Cesar Yanez

Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

2019

Fitness landscapes analysis and adaptive algorithms design for traffic lights optimization on SIALAC benchmark.

Florian Leprêtre, Cyril Fonlupt, Sébastien Vérel, Virginie Marion, Rolando Armas, Hernán E. Aguirre, Kiyoshi Tanaka

Appl. Soft Comput., 2019

2017

Multi-objective optimization of level of service in urban transportation.

Rolando Armas, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

An effective EA for short term evolution with small population for traffic signal optimization.

Rolando Armas, Hernán E. Aguirre, Fabio Daolio, Kiyoshi Tanaka

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study.

Daniel H. Stolfi, Rolando Armas, Enrique Alba, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Traffic signal optimization and coordination using neighborhood mutation.

Rolando Armas, Hernán E. Aguirre, Fabio Daolio, Kiyoshi Tanaka

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption.

Rolando Armas, Hernán E. Aguirre, Saúl Zapotecas Martínez, Kiyoshi Tanaka

Proceedings of the Artificial Evolution, 2015

2014

Effects of Mutation and Crossover Operators in the Optimization of Traffic Signal Parameters.

Rolando Armas, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014