Topological Approach to Analgesia. - Jorge Gálvez; Ramón García-Domenech; Jesús Vicente de Julián-Ortiz; Rosa Soler (J. Chem. Inf. Comput. Sci., 1994)

Charge Indexes. New Topological Descriptors. - Jorge Gálvez; Ramón García-Domenech; M. Teresa Salabert-Salvador; Rosa Soler (J. Chem. Inf. Comput. Sci., 1994)

Topological Approach to Drug Design. - Jorge Gálvez; Ramón García-Domenech; Jesús Vicente de Julián-Ortiz; Rosa Soler (J. Chem. Inf. Comput. Sci., 1995)

Topological Approach to Drug Design. [ Erratum to document cited in CA122: 177672]. - Jorge Gálvez; Ramón García-Domenech; Jesús Vicente de Julián-Ortiz; Rosa Soler (J. Chem. Inf. Comput. Sci., 1995)

Indices of differences of path lengths: Novel topological descriptors derived from electronic interferences in graphs. - Jorge Gálvez; Ramón García-Domenech; Carolina de Gregorio-Alapont (J. Comput. Aided Mol. Des., 2000)

Study of the Action of Flavonoids on Xanthine-Oxidase by Molecular Topology. - A. M. Ponce; S. E. Blanco; A. S. Molina; Ramón García-Domenech; Jorge Gálvez (J. Chem. Inf. Comput. Sci., 2000)

Optimization of a mathematical topological pattern for the prediction of antihistaminic activity. - M. J. Duart; Ramón García-Domenech; G. M. Antón-Fos; Jorge Gálvez (J. Comput. Aided Mol. Des., 2001)

Getting Discriminant Functions of Antibacterial Activity from Physicochemical and Topological Parameters. - Rama K. Mishra; Ramón García-Domenech; Jorge Gálvez (J. Chem. Inf. Comput. Sci., 2001)

Prediction of Molecular Volume and Surface of Alkanes by Molecular Topology. - Jorge Gálvez (J. Chem. Inf. Comput. Sci., 2003)

Application of Molecular Topology to the Prediction of Water Quality Indices of Alkylphenol Pollutants. - Jorge Gálvez; Miriam Parreño; Jordi Pla; Jaime Sánchez 001; María Gálvez-Llompart; Sergio Navarro 002; Ramón García-Domenech (Int. J. Chemoinformatics Chem. Eng., 2011)

Modeling Drug-Induced Anorexia by Molecular Topology. - María Gálvez-Llompart; Jorge Gálvez; Ramón García-Domenech; Lemont B. Kier (J. Chem. Inf. Model., 2012)

Application of Molecular Topology to the Prediction of the Reaction Yield and Anticancer Activity of Imidazole and Guanidine Derivatives. - Miguel Espinosa López; Vincenzo La Franca Pitarresi; Salvador Sayas Valero; Jorge Gálvez; Ramón García-Domenech (Int. J. Chemoinformatics Chem. Eng., 2013)

A Comparison of Evolutionary Computation Techniques for IIR Model Identification. - Erik Cuevas; Jorge Gálvez; Salvador Hinojosa; Omar Ávalos; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (J. Appl. Math., 2014)

Molecular Topology Applied to the Discovery of 1-Benzyl-2-(3-fluorophenyl)-4-hydroxy-3-(3-phenylpropanoyl)-2H-pyrrole-5-one as a Non-Ligand-Binding-Pocket Antiandrogen. - Laura Caboni; María Gálvez-Llompart; Jorge Gálvez; Fernando Blanco; Jaime Rubio-Martinez; Darren Fayne; David G. Lloyd (J. Chem. Inf. Model., 2014)

Induction Motor Parameter Identification Using a Gravitational Search Algorithm. - Omar Ávalos; Erik Cuevas; Jorge Gálvez (Comput., 2016)

A new metaheuristic optimization methodology based on fuzzy logic. - Margarita-Arimatea Díaz-Cortés; Erik Cuevas; Jorge Gálvez; Octavio Camarena (Appl. Soft Comput., 2017)

Parameter Estimation for Chaotic Fractional Systems by Using the Locust Search Algorithm. - Erik Cuevas; Jorge Gálvez; Omar Ávalos (Computación y Sistemas, 2017)

Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. - Diego Oliva; Salvador Hinojosa; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Expert Syst. Appl., 2017)

Flower Pollination Algorithm for Multimodal Optimization. - Jorge Gálvez; Erik Cuevas; Omar Ávalos (Int. J. Comput. Intell. Syst., 2017)

Remote sensing imagery segmentation based on multi-objective optimization algorithms. - Salvador Hinojosa; Omar Ávalos; Jorge Gálvez; Diego Oliva; Erik Cuevas; Marco Antonio Pérez Cisneros (LA-CCI, 2018)

Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. - Jorge Gálvez; Erik Cuevas; Omar Ávalos; Diego Oliva; Salvador Hinojosa (Appl. Intell., 2018)

Unassisted thresholding based on multi-objective evolutionary algorithms. - Salvador Hinojosa; Omar Ávalos; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Jorge Gálvez (Knowl. Based Syst., 2018)

Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Neural Comput. Appl., 2018)

Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Neural Comput. Appl., 2018)

A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. - Omar Ávalos; Erik Valdemar Cuevas Jiménez; Arturo Valdivia-Gonzalez; Jorge Gálvez; Salvador Hinojosa; Daniel Zaldivar 001; Diego Oliva (Computación y Sistemas, 2019)

A reactive model based on neighborhood consensus for continuous optimization. - Jorge Gálvez; Erik Cuevas; Salvador Hinojosa; Omar Ávalos; Marco Antonio Pérez Cisneros (Expert Syst. Appl., 2019)

An optimization algorithm guided by a machine learning approach. - Erik Cuevas; Jorge Gálvez (Int. J. Mach. Learn. Cybern., 2019)

Identification of New Templates for the Synthesis of BEA, BEC, and ISV Zeolites Using Molecular Topology and Monte Carlo Techniques. - María Gálvez-Llompart; Jorge Gálvez; Fernando Rey; German Sastre (J. Chem. Inf. Model., 2020)

A new metaheuristic approach based on agent systems principles. - Erik Cuevas; Jorge Gálvez; Karla Avila; Miguel Toski; Vahid Rafe (J. Comput. Sci., 2020)

A hybrid optimization approach based on clustering and chaotic sequences. - Jorge Gálvez; Erik Cuevas; Héctor M. Becerra 002; Omar Ávalos (Int. J. Mach. Learn. Cybern., 2020)

Acute lymphoblastic leukemia image segmentation driven by stochastic fractal search. - Krishna Gopal Dhal; Jorge Gálvez; Swarnajit Ray; Arunita Das; Sanjoy Das (Multim. Tools Appl., 2020)

Toward the modification of flower pollination algorithm in clustering-based image segmentation. - Krishna Gopal Dhal; Jorge Gálvez; Sanjoy Das (Neural Comput. Appl., 2020)

Recent Metaheuristics Algorithms for Parameter Identification - Erik Cuevas; Jorge Gálvez; Omar Ávalos (Springer, 2020)

Evolutionary-Mean shift algorithm for dynamic multimodal function optimization. - Erik Cuevas; Jorge Gálvez; Miguel Toski; Karla Avila (Appl. Soft Comput., 2021)

A mean shift segmentation scheme using several pixel characteristics. - Erik Cuevas; Jorge Gálvez; Omar Ávalos; Ángel Chavarin (Comput. Electr. Eng., 2021)

Macrolides May Prevent Severe Acute Respiratory Syndrome Coronavirus 2 Entry into Cells: A Quantitative Structure Activity Relationship Study and Experimental Validation. - Jorge Gálvez; Riccardo Zanni; María Gálvez-Llompart; José María Benlloch (J. Chem. Inf. Model., 2021)

Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering. - Krishna Gopal Dhal; Arunita Das; Swarnajit Ray; Jorge Gálvez (Knowl. Based Syst., 2021)

Cauchy with whale optimizer based eagle strategy for multi-level color hematology image segmentation. - Swarnajit Ray; Arunita Das; Krishna Gopal Dhal; Jorge Gálvez; Prabir Kumar Naskar (Neural Comput. Appl., 2021)

A Novel Fuzzy Logic-Based Improved Cuckoo Search Algorithm. - Krishna Gopal Dhal; Arunita Das; Jorge Gálvez (Int. J. Appl. Metaheuristic Comput., 2022)

Whale Optimizer-Based Clustering for Breast Histopathology Image Segmentation. - Swarnajit Ray; Arunita Das; Krishna Gopal Dhal; Jorge Gálvez; Prabir Kumar Naskar (Int. J. Swarm Intell. Res., 2022)

Fitness based weighted flower pollination algorithm with mutation strategies for image enhancement. - Arunita Das; Krishna Gopal Dhal; Swarnajit Ray; Jorge Gálvez; Sanjoy Das (Multim. Tools Appl., 2022)

Histogram-based fast and robust image clustering using stochastic fractal search and morphological reconstruction. - Arunita Das; Krishna Gopal Dhal; Swarnajit Ray; Jorge Gálvez (Neural Comput. Appl., 2022)

Online Neural-Detection of False Data Injection Attacks on Financial Time Series. - Alma Y. Alanis; Oscar D. Sánchez; Alejandra Ibarra; Eduardo Mendez; Jorge D. Sanchez; Jorge Gálvez (SSCI, 2023)

Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization. - Ángel Chavarin; Erik Cuevas; Omar Ávalos; Jorge Gálvez; Marco Antonio Pérez Cisneros (IEEE Access, 2023)

Multi-Circle Detection Guided by Multimodal Optimization Scheme. - Jorge Gálvez; Erik Cuevas; David Eliel Bocanegra Michel; Alma Rodríguez; Marco Antonio Pérez Cisneros (IEEE Access, 2023)

Analysis and Comparison of Metaheuristics - Erik Cuevas; Omar Ávalos; Jorge Gálvez (Springer, 2023)

Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning. - Nayeli Areli Pérez-Padilla; Rodolfo Garcia-Sanchez; Omar Ávalos; Jorge Gálvez; Minglei Bian; Liang Yu; Yimin Shu; Ming Feng; Frank D. Yelian (Comput. Biol. Medicine, 2024)

A novel optimization approach based on unstructured evolutionary game theory. - Héctor Escobar-Cuevas; Erik Cuevas; Jorge Gálvez; Miguel Toski (Math. Comput. Simul., 2024)

A novel hybrid search strategy for evolutionary fuzzy optimization approach. - Héctor Escobar-Cuevas; Erik Cuevas; Jorge Gálvez; Karla Avila (Neural Comput. Appl., 2024)