Jose Carlos Soto Monterrubio

Interests Parallel computing, Intelligent optimization, data analyst. Academic grades Jose Carlos Soto Monterrubio Ph.D. Candidate i 11 November 1989 B Tampico, Tamaulipas, Mexico T - m http://en.wikipedia.org @ - About me I am interest on doing research on intelligent optimization, parallel computing and data analyst. Skills Parallel computing since 2016 Ph.D. candidato en Ingenieria Informatica Metodos hibridos de optimizacion multi-objetivo Universidad de Cadiz since 2015 Ph. D. candidato en Ciencias de la Computacion Metodos hibridos de optimizacion multi-objetivo Tec. Nac. de Mexico - M.Sc. en Ciencias de la ComputacionInstituto Tecnologico de Ciudad Madero Optimizacion del problema de programacion de tareas independientes en sistemas de procesamiento paralelo - Ing. en Sistemas Computacionales Instituto Tecnologico de Ciudad Madero Especialidad en matematicas y fisica. - Tecnico en Computacion Centro de Bachillerato Industrial y de Servicios 103 Especialidad en computacion. Publications 2017 2017 Branch and bound algorithm for the heterogeneous computing scheduling multi-objective problem, en International Journal of Combinatorial Optimization Problems and Informatics A neighborhood operator for continuous multi-objective optimization problems, en International Journal of Combinatorial Optimization Problems and Informatics. Book chapters 2017 2016 2015 LATEX Python 2015 Java 2014 C/C++ AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem, in Nature-Inspired Design of Hybrid Intelligent Systems. Multi-Objective Simulated Annealing Algorithms for General Problems, in Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations. A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines, in Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. TwoPILP: An Integer Programming Method for HCSP in Parallel Computing Centers, in Advances in Artificial Intelligence and Its Applications. A Survey of Decomposition Methods for Multi-objective Optimization, in Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Grants Spanish?6 English?5 French?0.5 (*)[The skill scale is from 0 (Fundamental Awareness) to 6 (Expert).] - Beca mixta CONACyT de movilidad. Beca nacional CONACyT para realizar estudios de doctorado. Beca nacional CONACyT para realizar estudios de maestria. Research fellowship- En la Universidad de Cadiz, España con el proyecto Metodos hibridos de optimizacion multiobjetivo. Research groups since 2016 Methods and Applications of Artificial Intelligence (MEHARI) www. bernabe.dorronsoro.es/group.htm