Gregorio Toscano Pulido

Orcid: 0000-0001-5311-8027

According to our database1, Gregorio Toscano Pulido authored at least 56 papers between 2001 and 2024.

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Bibliography

2024
Large-Scale Multiobjective Optimization for Watershed Planning and Assessment.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024

Leveraging innovization and transfer learning to optimize best management practices in large-scale watershed management.
Environ. Model. Softw., 2024

2023
Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Evolutionary Instance Selection Based on Preservation of the Data Probability Density Function.
Computación y Sistemas, 2022

Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Instance Selection Based on Linkage Trees.
Proceedings of the 18th International Conference on Electrical Engineering, 2021

2020
A gearbox model for processing large volumes of data by using pipeline systems encapsulated into virtual containers.
Future Gener. Comput. Syst., 2020

2019
A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

Use of a goal-constraint-based approach for finding the region of interest in multi-objective problems.
J. Heuristics, 2019

Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Enhancing Metaheuristic-Based Online Embedding in Network Virtualization Environments.
IEEE Trans. Netw. Serv. Manag., 2018

2017
On the use of stochastic ranking for parent selection in differential evolution for constrained optimization.
Soft Comput., 2017

Comparison of metamodeling techniques in evolutionary algorithms.
Soft Comput., 2017

Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
R2-Based Multi/Many-Objective Particle Swarm Optimization.
Comput. Intell. Neurosci., 2016

A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms.
Comput. Intell. Neurosci., 2016

Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Business-driven policy optimization for service management.
Int. J. Netw. Manag., 2015

Multi-objectivization, fitness landscape transformation and search performance: A case of study on the hp model for protein structure prediction.
Eur. J. Oper. Res., 2015

Constraint-handling through multi-objective optimization: The hydrophobic-polar model for protein structure prediction.
Comput. Oper. Res., 2015

2013
Comparative Analysis of Different Evaluation Functions for Protein Structure Prediction Under the HP Model.
J. Comput. Sci. Technol., 2013

Goal-constraint: Incorporating preferences through an evolutionary ε-constraint based method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Handling constraints in the HP model for protein structure prediction by multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A ranking method based on the R2 indicator for many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

On the use of a BSP Tree to create local surrogate models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A hybrid local search operator for multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Locality-based multiobjectivization for the HP model of protein structure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An approach for estimating separability and its application on high dimensional optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Multiobjectivizing the HP Model for Protein Structure Prediction.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

2011
Evaluation of Binarization Algorithms for Camera-Based Devices.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011

A Long-term Memory Approach for Dynamic Multiobjective Evolutionary Algorithms.
Proceedings of the ECTA and FCTA 2011, 2011

Comparing alternative energy functions for the HP model of protein structure prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Effective ranking + speciation = Many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A comparison on the search of particle swarm optimization and differential evolution on multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

On the selection of surrogate models in evolutionary optimization algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme.
Proceedings of the Artificial Evolution, 2011

A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization.
Proceedings of the Artificial Evolution, 2011

2010
Handling Dynamic Multiobjective Problems with Particle Swarm Optimization.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

Two novel approaches for many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Ranking Methods for Many-Objective Optimization.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

A Comparative Study of Neighborhood Topologies for Particle Swarm Optimizers.
Proceedings of the IJCCI 2009, 2009

Alternative Fitness Assignment Methods for Many-Objective Optimization Problems.
Proceedings of the Artifical Evolution, 2009

2008
Multi-robot Exploration and Mapping Using Self Biddings and Stop Signals.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Motion Planning for Cooperative Multi-robot Box-Pushing Problem.
Proceedings of the Advances in Artificial Intelligence, 2008

Multi-robot Exploration and Mapping Using Self Biddings.
Proceedings of the Advances in Artificial Intelligence, 2008

2007
A Memetic PSO Algorithm for Scalar Optimization Problems.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Optimal Triangulation in 3D Computer Vision Using a Multi-objective Evolutionary Algorithm.
Proceedings of the Applications of Evolutinary Computing, 2007

EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2005
A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizer.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

2004
Handling Multiple Objectives With Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2004

Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer.
Proceedings of the Genetic and Evolutionary Computation, 2004

A constraint-handling mechanism for particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

2001
A Micro-Genetic Algorithm for Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001


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