Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Gregorio Toscano"'
Autor:
Gregorio Toscano, J. Sebastian Hernandez-Suarez, Julian Blank, Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis Linker
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8194ad22765c5eab7f7028c952b349e7
https://doi.org/10.1109/cec55065.2022.9870286
https://doi.org/10.1109/cec55065.2022.9870286
Publikováno v:
Computación y Sistemas. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f8cab8d50e594df3735d773ddaa9da3
https://doi.org/10.13053/cys-26-2-4255
https://doi.org/10.13053/cys-26-2-4255
Autor:
Raffaele Montella, Hugo G. Reyes-Anastacio, J.L. Gonzalez-Compean, Jesus Carretero, Miguel Santiago-Duran, André Brinkmann, Gregorio Toscano Pulido
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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instname
Software pipelines enable organizations to chain applications for adding value to contents (e.g., confidentially, reliability, and integrity) before either sharing them with partners or sending them to the cloud. However, the pipeline components add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85b96296b1c51408fbb050102ae6681c
https://doi.org/10.1016/j.future.2020.01.014
https://doi.org/10.1016/j.future.2020.01.014
Autor:
Samuel Omar Tovias-Alanis, Wilfrido Gómez-Flores, Gregorio Toscano-Pulido, Juan Humberto Sossa-Azuela
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031077494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a92745b0e9b45cd45ec248f2272c07c9
https://doi.org/10.1007/978-3-031-07750-0_10
https://doi.org/10.1007/978-3-031-07750-0_10
Publikováno v:
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55bd582a5ec1ab2c470ee520e42f5a71
https://doi.org/10.1109/cce53527.2021.9633116
https://doi.org/10.1109/cce53527.2021.9633116
Publikováno v:
IEEE Transactions on Evolutionary Computation. 23:104-116
One of the main difficulties in applying an optimization algorithm to a practical problem is that evaluation of objectives and constraints often involve computationally expensive procedures. To handle such problems, a metamodel is first formed from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f580478f87261263f1dd83c447077bb
https://doi.org/10.1109/tevc.2018.2828091
https://doi.org/10.1109/tevc.2018.2828091
Publikováno v:
Journal of Heuristics. 25:107-139
This paper presents a hybrid approach that combines an evolutionary algorithm with a classical multi-objective optimization technique to incorporate the preferences of the decision maker into the search process. The preferences are given as a vector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c407c374cf903660e7989e5871ea4b8
https://doi.org/10.1007/s10732-018-9387-8
https://doi.org/10.1007/s10732-018-9387-8
Autor:
Javier Rubio-Loyola, Christian Aguilar-Fuster, Gregorio Toscano-Pulido, Joan Serrat‐Fernandez, Rashid Mijumbi
Publikováno v:
IEEE Transactions on Network and Service Management. 15:200-216
Virtual network embedding (VNE) has attracted a lot of attention in the last decade. Nevertheless, recent analysis demonstrates that the performance of VNE solutions in key metrics like virtualized network acceptance ratio decreases drastically with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f57d7a65f5033553cefd98dcf0d4d2e
https://doi.org/10.1109/tnsm.2017.2742666
https://doi.org/10.1109/tnsm.2017.2742666
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030125974
EMO
EMO
Weight adaptation methods can enhance the diversity of solutions obtained by decomposition-based approaches when addressing irregular Pareto front shapes. Generally, these methods adapt the location of each weight vector during the search process. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::142d27954fc4c1a688f0847e2b82c647
https://doi.org/10.1007/978-3-030-12598-1_18
https://doi.org/10.1007/978-3-030-12598-1_18
Publikováno v:
Soft Computing. 21:5647-5663
Although researchers have successfully incorporated metamodels in evolutionary algorithms to solve computational-expensive optimization problems, they have scarcely performed comparisons among different metamodeling techniques. This paper presents an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d689e9131550a5a052b1c356fa9ac4a5
https://doi.org/10.1007/s00500-016-2140-z
https://doi.org/10.1007/s00500-016-2140-z