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Methodology to quantify robustness in networks: case study - Higher Education System in Mexico., , , , , , and . Computing, 103 (5): 869-893 (2021)Development of seven hybrid methods based on collective intelligence for solving nonlinear constrained optimization problems., , , , , and . Artif. Intell. Rev., 49 (2): 245-279 (2018)Identification of COVID-19 Spreaders Using Multiplex Networks Approach., , , , , , , , and . IEEE Access, (2020)Redistricting in Mexico., , , , , and . OR, page 301-306. Springer, (2016)Simulated Annealing and Artificial Bee Colony for the Redistricting Process in Mexico., , , , , and . INFORMS J. Appl. Anal., 49 (3): 189-200 (2019)Quantifying influential nodes in complex networks using optimization and particle dynamics: a comparative study., , , , , and . Computing, 106 (3): 821-864 (2024)A Three Particles Algorithm for Solving Some Very High Dimensional Benchmark Unconstrained Optimization Problems Using a Fuzzy Fitness Criterium., , , , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 26 (Supplement-1): 93-119 (2018)Method of Musical Composition for the Portfolio Optimization Problem., , , , , and . MICAI (2), volume 10062 of Lecture Notes in Computer Science, page 365-376. Springer, (2016)A System for Political Districting in the State of Mexico., , , , , and . MICAI (1), volume 9413 of Lecture Notes in Computer Science, page 248-259. Springer, (2015)A comparative study of population-based algorithms for a political districting problem., , , , , and . Kybernetes, 46 (1): 172-190 (2017)