Man

Felipe Andrés Cisternas Caneo

Líneas de Investigación


Metaheurísticas, Algoritmos Híbridos, Machine Learning, Algoritmos Bio-Inspirados, Optimización, Optimización Combinatorial, Metaheurísticas Caóticas

Educación

  •  Ingeniero Civil en Informática, PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO. Chile, 2020
  •  Magíster en Ingeniería Informática, PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO. Chile, 2021
  •  Licenciado en Ciencias de la Ingeniería, PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO. Chile, 2019
  •  Magíster en Ciencias de la Ingeniería Informática, PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO. Chile, 2024

Experiencia Académica

  •   Profesor Agregado Part Time

    PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO

    Facultad de Ingeniería

    Valparaíso, Chile

    2023 - At present

  •   Profesor Hora Part Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Quilpué, Chile

    2024 - At present


 

Article (16)

Enhancing Reptile Search Algorithm Performance for the Knapsack Problem with Integration of Chaotic Map
How Is the Objective Function of the Feature Selection Problem Formulated?
A Binary Chaotic White Shark Optimizer
A Novel Approach to Combinatorial Problems: Binary Growth Optimizer Algorithm
Chaotic Binarization Schemes for Solving Combinatorial Optimization Problems Using Continuous Metaheuristics
Optimizing the Feature Selection Problem with Pendulum Search Algorithm: Binarization Strategies and Their Impacts
A Binary Black Widow Optimization Algorithm for Addressing the Cell Formation Problem Involving Alternative Routes and Machine Reliability
B-PSA: A Binary Pendulum Search Algorithm for the Feature Selection Problem
Binarization of Metaheuristics: Is the Transfer Function Really Important?
Embedded Learning Approaches in the Whale Optimizer to Solve Coverage Combinatorial Problems
Population Size Management in a Cuckoo Search Algorithm Solving Combinatorial Problems
Swarm-Inspired Computing to Solve Binary Optimization Problems: A Backward Q-Learning Binarization Scheme Selector
A Novel Learning-Based Binarization Scheme Selector for Swarm Algorithms Solving Combinatorial Problems
Embedding Q-Learning in the selection of metaheuristic operators: The enhanced binary grey wolf optimizer case
Q-learnheuristics: Towards data-driven balanced metaheuristics
Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques

BookSection (3)

A New Learnheuristic: Binary SARSA - Sine Cosine Algorithm (BS-SCA)
A Comparison of Learnheuristics Using Different Reward Functions to Solve the Set Covering Problem
Reinforcement Learning Based Whale Optimizer

Review (2)

Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications
Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review
5
Ricardo Soto

Director

Escuela de Ingeniería Informática - PUCV

Valparaiso, Chile

2
Wenceslao Palma

Profesor

PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO

Valparaiso, Chile

1
Giovanni Giachetti

Director de Investigación

Departamento de Ciencias de la Ingeniería

Universidad Andrés Bello

Santiago, Chile

1
franklin johnson

Director

Computación e Informática

Universidad de Playa Ancha de Ciencias de la Educación

valparaíso, Chile

2
Alvaro Peña

Profesor Titular - Consejero Académico

Escuela Ingeniería en Construcción

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile

1
CLAUDIO ELÓRTEGUI

Director

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile

1
Emanuel Vega

Académico

Escuela de Ingeniería Informática

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile

5
José Barrera

Profesor

Marketing y Tecnologías

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile

14
Marcelo Becerra

Profesor Asociado

Escuela de Ingeniería Informática

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile