A Micro-Genetic Algorithm for Multiobjective Optimization. - Carlos A. Coello Coello; Gregorio Toscano Pulido (EMO, 2001)

The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization. - Gregorio Toscano Pulido; Carlos A. Coello Coello (EMO, 2003)

A constraint-handling mechanism for particle swarm optimization. - Gregorio Toscano Pulido; Carlos A. Coello Coello (IEEE Congress on Evolutionary Computation, 2004)

Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer. - Gregorio Toscano Pulido; Carlos A. Coello Coello (GECCO (1), 2004)

Handling Multiple Objectives With Particle Swarm Optimization. - Carlos A. Coello Coello; Gregorio Toscano Pulido; Maximino Salazar Lechuga (IEEE Trans. Evol. Comput., 2004)

A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizer. - Mario Villalobos-Arias; Gregorio Toscano Pulido; Carlos A. Coello Coello (SIS, 2005)

EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency. - Gregorio Toscano Pulido; Carlos A. Coello Coello; Luis V. Santana-Quintero (EMO, 2007)

Optimal Triangulation in 3D Computer Vision Using a Multi-objective Evolutionary Algorithm. - Israel Vite Silva; Nareli Cruz Cortés; Gregorio Toscano Pulido; Luis Gerardo de la Fraga (EvoWorkshops, 2007)

A Memetic PSO Algorithm for Scalar Optimization Problems. - Oliver Schütze 001; El-Ghazali Talbi; Carlos A. Coello Coello; Luis V. Santana-Quintero; Gregorio Toscano Pulido (SIS, 2007)

Multi-robot Exploration and Mapping Using Self Biddings. - Juan Carlos Elizondo-Leal; Gabriel Ramírez-Torres; Gregorio Toscano Pulido (IBERAMIA, 2008)

Motion Planning for Cooperative Multi-robot Box-Pushing Problem. - Ezra Federico Parra-González; Gabriel Ramírez-Torres; Gregorio Toscano Pulido (IBERAMIA, 2008)

Multi-robot Exploration and Mapping Using Self Biddings and Stop Signals. - Juan Carlos Elizondo-Leal; Gabriel Ramírez-Torres; Gregorio Toscano Pulido (MICAI, 2008)

Alternative Fitness Assignment Methods for Many-Objective Optimization Problems. - Mario Garza-Fabre; Gregorio Toscano Pulido; Carlos A. Coello Coello (Artificial Evolution, 2009)

A Comparative Study of Neighborhood Topologies for Particle Swarm Optimizers. - Angelina Jane Reyes Medina; Gregorio Toscano Pulido; José Gabriel Ramírez-Torres (IJCCI, 2009)

Ranking Methods for Many-Objective Optimization. - Mario Garza-Fabre; Gregorio Toscano Pulido; Carlos A. Coello Coello (MICAI, 2009)

Two novel approaches for many-objective optimization. - Mario Garza-Fabre; Gregorio Toscano Pulido; Carlos A. Coello Coello (IEEE Congress on Evolutionary Computation, 2010)

Handling Dynamic Multiobjective Problems with Particle Swarm Optimization. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; José Gabriel Ramírez-Torres (ICAART (1), 2010)

A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Ricardo Landa Becerra (Artificial Evolution, 2011)

A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme. - Jorge Sebastian Hernández-Domínguez; Gregorio Toscano Pulido; Carlos A. Coello Coello (Artificial Evolution, 2011)

On the selection of surrogate models in evolutionary optimization algorithms. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Wilfrido Gómez-Flores (IEEE Congress on Evolutionary Computation, 2011)

A comparison on the search of particle swarm optimization and differential evolution on multi-objective optimization. - Jorge Sebastian Hernández-Domínguez; Gregorio Toscano Pulido (IEEE Congress on Evolutionary Computation, 2011)

Effective ranking + speciation = Many-objective optimization. - Mario Garza-Fabre; Gregorio Toscano Pulido; Carlos A. Coello Coello; Eduardo Rodriguez-Tello (IEEE Congress on Evolutionary Computation, 2011)

Comparing alternative energy functions for the HP model of protein structure prediction. - Mario Garza-Fabre; Eduardo Rodriguez-Tello; Gregorio Toscano Pulido (IEEE Congress on Evolutionary Computation, 2011)

A Long-term Memory Approach for Dynamic Multiobjective Evolutionary Algorithms. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Ricardo Landa Becerra (IJCCI (ECTA-FCTA), 2011)

Evaluation of Binarization Algorithms for Camera-Based Devices. - M. Nava-Ortiz; Wilfrido Gómez-Flores; A. Díaz-Pérez; Gregorio Toscano Pulido (MCPR, 2011)

Multiobjectivizing the HP Model for Protein Structure Prediction. - Mario Garza-Fabre; Eduardo Rodriguez-Tello; Gregorio Toscano Pulido (EvoCOP, 2012)

An approach for estimating separability and its application on high dimensional optimization. - Ricardo Landa Becerra; Yazmin Rojas; Gregorio Toscano Pulido (GECCO, 2012)

Locality-based multiobjectivization for the HP model of protein structure prediction. - Mario Garza-Fabre; Gregorio Toscano Pulido; Eduardo Rodriguez-Tello (GECCO, 2012)

An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction. - Mario Garza-Fabre; Eduardo Rodriguez-Tello; Gregorio Toscano Pulido (PPSN (2), 2012)

A hybrid local search operator for multiobjective optimization. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Ricardo Landa Becerra (IEEE Congress on Evolutionary Computation, 2013)

On the use of a BSP Tree to create local surrogate models. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Ricardo Landa Becerra (IEEE Congress on Evolutionary Computation, 2013)

A ranking method based on the R2 indicator for many-objective optimization. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Carlos Artemio Coello Coello; Ricardo Landa Becerra (IEEE Congress on Evolutionary Computation, 2013)

Handling constraints in the HP model for protein structure prediction by multiobjective optimization. - Mario Garza-Fabre; Gregorio Toscano Pulido; Eduardo Rodriguez-Tello (IEEE Congress on Evolutionary Computation, 2013)

Goal-constraint: Incorporating preferences through an evolutionary ε-constraint based method. - Ricardo Landa Becerra; Carlos Artemio Coello Coello; Gregorio Toscano Pulido (IEEE Congress on Evolutionary Computation, 2013)

Comparative Analysis of Different Evaluation Functions for Protein Structure Prediction Under the HP Model. - Mario Garza-Fabre; Eduardo Rodriguez-Tello; Gregorio Toscano Pulido (J. Comput. Sci. Technol., 2013)

Constraint-handling through multi-objective optimization: The hydrophobic-polar model for protein structure prediction. - Mario Garza-Fabre; Eduardo Rodriguez-Tello; Gregorio Toscano Pulido (Comput. Oper. Res., 2015)

Multi-objectivization, fitness landscape transformation and search performance: A case of study on the hp model for protein structure prediction. - Mario Garza-Fabre; Gregorio Toscano Pulido; Eduardo Rodriguez-Tello (Eur. J. Oper. Res., 2015)

Business-driven policy optimization for service management. - Javier Rubio-Loyola; Gregorio Toscano Pulido; Marinos Charalambides; Marisol Magaña-Aguilar; Joan Serrat-Fernández; George Pavlou; Hiram Galeana-Zapién (Int. J. Netw. Manag., 2015)

Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems. - Gregorio Toscano; Kalyanmoy Deb (CEC, 2016)

A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Jose Hugo Barron-Zambrano; Edgar Tello-Leal (Comput. Intell. Neurosci., 2016)

R2-Based Multi/Many-Objective Particle Swarm Optimization. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Jose Hugo Barron-Zambrano; Edgar Tello-Leal (Comput. Intell. Neurosci., 2016)

Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results. - Kalyanmoy Deb; Rayan Hussein; Proteek Chandan Roy; Gregorio Toscano (EMO, 2017)

Comparison of metamodeling techniques in evolutionary algorithms. - Alan Díaz-Manríquez; Gregorio Toscano Pulido; Carlos A. Coello Coello (Soft Comput., 2017)

On the use of stochastic ranking for parent selection in differential evolution for constrained optimization. - Gregorio Toscano Pulido; Ricardo Landa Becerra; Giomara Lárraga; Guillermo Leguizamón (Soft Comput., 2017)

Enhancing Metaheuristic-Based Online Embedding in Network Virtualization Environments. - Javier Rubio-Loyola; Christian Aguilar-Fuster; Gregorio Toscano Pulido; Rashid Mijumbi; Joan Serrat-Fernández (IEEE Trans. Netw. Serv. Manag., 2018)

Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems. - Auraham Camacho; Gregorio Toscano Pulido; Ricardo Landa Becerra; Hisao Ishibuchi (EMO, 2019)

Use of a goal-constraint-based approach for finding the region of interest in multi-objective problems. - Ricardo Landa Becerra; Giomara Lárraga; Gregorio Toscano Pulido (J. Heuristics, 2019)

A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization. - Kalyanmoy Deb; Rayan Hussein; Proteek Chandan Roy; Gregorio Toscano Pulido (IEEE Trans. Evol. Comput., 2019)

A gearbox model for processing large volumes of data by using pipeline systems encapsulated into virtual containers. - Miguel Santiago-Duran; José Luis González Compeán; André Brinkmann; Hugo G. Reyes-Anastacio; Jesús Carretero 001; Raffaele Montella; Gregorio Toscano Pulido (Future Gener. Comput. Syst., 2020)

Instance Selection Based on Linkage Trees. - Samuel Omar Tovias-Alanis; Wilfrido Gómez-Flores; Gregorio Toscano Pulido (CCE, 2021)

Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed. - Gregorio Toscano; Juan Sebastian Hernandez-Suarez; Julian Blank; A. Pouyan Nejadhashemi; Kalyanmoy Deb; Lewis C. Linker (CEC, 2022)

Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification. - Samuel Omar Tovias-Alanis; Wilfrido Gómez-Flores; Gregorio Toscano Pulido; Juan Humberto Sossa Azuela (MCPR, 2022)

Evolutionary Instance Selection Based on Preservation of the Data Probability Density Function. - Samuel Omar Tovias-Alanis; Wilfrido Gómez-Flores; Gregorio Toscano Pulido (Computación y Sistemas, 2022)

Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem. - Gregorio Toscano; Hoda Razavi; A. Pouyan Nejadhashemi; Kalyanmoy Deb; Lewis C. Linker (CEC, 2023)

Leveraging innovization and transfer learning to optimize best management practices in large-scale watershed management. - Kalyanmoy Deb; A. Pouyan Nejadhashemi; Gregorio Toscano; Hoda Razavi; Lewis C. Linker (Environ. Model. Softw., 2024)

Large-Scale Multiobjective Optimization for Watershed Planning and Assessment. - Gregorio Toscano Pulido; Hoda Razavi; A. Pouyan Nejadhashemi; Kalyanmoy Deb; Lewis C. Linker (IEEE Trans. Syst. Man Cybern. Syst., 2024)