Nelson Rangel-Valdez

Orcid: 0000-0002-4745-2325

According to our database1, Nelson Rangel-Valdez authored at least 70 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Pitfalls in Metaheuristics Solving Stoichiometric-Based Optimization Models for Metabolic Networks.
Algorithms, August, 2024

MOSA/D-O and MOSAD/D-O-II: Performance analysis of decomposition-based algorithms in many objective problems.
SoftwareX, February, 2024

Experimental Design Method to Finetune Cooperative Coevolutionary Algorithms Solving Multiobjective Problems.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024

A Comprehensive Review of Task Scheduling Problem in Cloud Computing: Recent Advances and Comparative Analysis.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024

Aiding decision makers in articulating a preference closeness model through compensatory fuzzy logic for many-objective optimization problems.
Knowl. Based Syst., 2024

Experimental Analysis of a Cooperative Coevolutionary Algorithm with Parameter Tuning for Multi-Objective Problem Optimization with Uncertainty.
Computación y Sistemas (CyS), 2024

Advancing Cloud Task Scheduling: Recent Developments and Comparative Insights.
Computación y Sistemas (CyS), 2024

Deep Study on the Application of Machine Learning in Bin Packing Problems.
Computación y Sistemas (CyS), 2024

Novel Dynamic Decomposition-Based Multi-objective Evolutionary Algorithm Using Reinforcement Learning Adaptive Operator Selection (DMOEA/D-SL).
Computación y Sistemas (CyS), 2024

2023
An interactive ACO enriched with an eclectic multi-criteria ordinal classifier to address many-objective optimisation problems.
Expert Syst. Appl., December, 2023

An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences.
Swarm Evol. Comput., 2023

GRASP/Δ: An efficient algorithm for the multi-objective portfolio optimization problem.
Expert Syst. Appl., 2023

2022
Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking.
Swarm Evol. Comput., 2022

Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters.
Swarm Evol. Comput., 2022

Model of Integration of Verbal and Nonverbal Expressions for Credible Virtual Agents.
Res. Comput. Sci., 2022

Caracterización de frases para un sistema conversacional inteligente en un entorno educativo virtual basado en las características de la dialéctica y los actos del habla.
Res. Comput. Sci., 2022

Fuzzy Filter: a method to solve a dynamic portfolio selection problem with preference incorporation.
Int. J. Comb. Optim. Probl. Informatics, 2022

A Design and analysis of classification models for the gelification of alkoxybenzoates using the kNN algorithm.
Int. J. Comb. Optim. Probl. Informatics, 2022

Two novel branch and bound algorithms for the vertex bisection problem.
Expert Syst. Appl., 2022

Solving group multi-objective optimization problems by optimizing consensus through multi-criteria ordinal classification.
Eur. J. Oper. Res., 2022

Modeling Preferences through Personality and Satisfaction to Guide the Decision Making of a Virtual Agent.
Axioms, 2022

2021
Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters.
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021

Preference Incorporation into Many-Objective Optimization: An Outranking-based Ant Colony Algorithm.
CoRR, 2021

2020
A Survey of Hyper-heuristics for Dynamic Optimization Problems.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

AMOSA with Analytical Tuning Parameters and Fuzzy Logic Controller for Heterogeneous Computing Scheduling Problem.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Solving the multi-objective flexible job shop scheduling problem with a novel parallel branch and bound algorithm.
Swarm Evol. Comput., 2020

Towards Negotiating Agents with Realistic Emotional Relationships in Intelligent Learning Environments.
Res. Comput. Sci., 2020

Towards the Design of a Socio-Emotional Negotiator Agent as a Serious Games Character that Supports Learning Environments.
Res. Comput. Sci., 2020

Characterization of the Student's Personality to Develop an Agent that Selects Intelligent Learning Environments Study Materials.
Res. Comput. Sci., 2020

Optimization of Many Objectives with Intervals Applying the MOEA/D Algorithm.
Polibits, 2020

Parallel Designs for Metaheuristics that Solve Portfolio Selection Problems Using Fuzzy Outranking Relations.
Int. J. Fuzzy Syst., 2020

Fuzzy Multi-objective Particle Swarm Optimization Solving the Three-Objective Portfolio Optimization Problem.
Int. J. Fuzzy Syst., 2020

Development of Conversational Deliberative Agents Driven by Personality via Fuzzy Outranking Relations.
Int. J. Fuzzy Syst., 2020

Genetic Algorithm for Scheduling Optimization Considering Heterogeneous Containers: A Real-World Case Study.
Axioms, 2020

2019
Analysis of Speech Acts for the Design of a Corpus of Phrases used in an Intelligent Learning Environment.
Res. Comput. Sci., 2019

Un nuevo algoritmo de ramificación y acotamiento para el problema de la bisección de vértices.
Res. Comput. Sci., 2019

An Interval-Based Approach for Evolutionary Multi-Objective Optimization of Project Portfolios.
Int. J. Inf. Technol. Decis. Mak., 2019

Project Portfolio Selection with Scheduling: An Evolutionary Approach.
Int. J. Comb. Optim. Probl. Informatics, 2019

2018
Performance Analysis of an a Priori Strategy to Elicitate and Incorporate Preferences in Multi-objective Optimization Evolutionary Algorithms.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Modeling and Project Portfolio Selection Problem Enriched with Dynamic Allocation of Resources.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

A Grey Mathematics Approach for Evolutionary Multi-objective Metaheuristic of Project Portfolio Selection.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

2017
TOPSIS-Grey Method Applied to Project Portfolio Problem.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Design and Solution of a Surrogate Model for Portfolio Optimization Based on Project Ranking.
Sci. Program., 2017

GAMeNT: A Framework to Formalize the Serious Game Design and Development.
Res. Comput. Sci., 2017

Performance Analysis of Strategies that aid in the Incorporation of Preferences in Public Portfolio Optimization Processes.
Int. J. Comb. Optim. Probl. Informatics, 2017

Decomposition Based on Models that use Bandwidth Minimization Heuristics in Matrices for Scheduling Problems.
Int. J. Comb. Optim. Probl. Informatics, 2017

A metaheuristic optimization-based indirect elicitation of preference parameters for solving many-objective problems.
Int. J. Comput. Intell. Syst., 2017

2016
Uncertainty Modelling for Project Portfolio Problem using Interval Analysis.
Int. J. Comb. Optim. Probl. Informatics, 2016

Metaheuristic Robust Optimization of Project Portfolios using an Interval-Based Model of Imprecisions.
Int. J. Comb. Optim. Probl. Informatics, 2016

2015
Erratum to: Supercomputing and grid computing on the verification of covering arrays.
J. Supercomput., 2015

Multiobjective Optimization Approach for Preference-Disaggregation Analysis Under Effects of Intensity.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

2014
Practical relaxation of a special case of the Curriculum-Based Course Timetabling problem.
Prog. Artif. Intell., 2014

2013
MiTS in Depth: An Analysis of Distinct Tabu Search Configurations for Constructing Mixed Covering Arrays.
Proceedings of the Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013

SAT Model for the Curriculum-Based Course Timetabling Problem.
Res. Comput. Sci., 2013

2012
Supercomputing and grid computing on the verification of covering arrays.
J. Supercomput., 2012

Construction of Mixed Covering Arrays of strengths 2 through 6 Using a Tabu Search Approach.
Discret. Math. Algorithms Appl., 2012

A Post-optimization Strategy for Combinatorial Testing: Test Suite Reduction through the Identification of Wild Cards and Merge of Rows.
Proceedings of the Advances in Computational Intelligence, 2012

2011
An algorithm to compute integer ηth roots using subtractions.
Int. J. Comput. Math., 2011

An Exact Approach to Maximize the Number of Wild Cards in a Covering Array.
Proceedings of the Advances in Artificial Intelligence, 2011

Optimal Shortening of Covering Arrays.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Optimization of Investment Options Using SQL.
Proceedings of the Advances in Artificial Intelligence, 2010

A Heuristic Approach for Constructing Ternary Covering Arrays Using Trinomial Coefficients.
Proceedings of the Advances in Artificial Intelligence, 2010

Verification of General and Cyclic Covering Arrays Using Grid Computing.
Proceedings of the Data Management in Grid and Peer-to-Peer Systmes, 2010

Construction of Mixed Covering Arrays of Variable Strength Using a Tabu Search Approach.
Proceedings of the Combinatorial Optimization and Applications, 2010

2009
Phase Transition in the Bandwidth Minimization Problem.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

Problem and Algorithm Fine-Tuning - A Case of Study using Bridge Club and Simulated Annealing.
Proceedings of the IJCCI 2009, 2009

2008
Strength Two Covering Arrays Construction Using a SAT Representation.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Symbolic Summation of Polynomials in Linear Space and Quadratic Time.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008

2007
DiPro: An Algorithm for the Packing in Product Transportation Problems with Multiple Loading and Routing Variants.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

A Distributed Metaheuristic for Solving a Real-World Scheduling-Routing-Loading Problem.
Proceedings of the Parallel and Distributed Processing and Applications, 2007


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