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of 3
pro vyhledávání: '"Eric Santiago-Valentin"'
Autor:
Leticia Flores-Pulido, Edgar Alfredo Portilla-Flores, Eric Santiago-Valentin, Eduardo Vega-Alvarado, Maria Barbara Calva Yanez, Paola Andrea Nino-Suarez
Publikováno v:
IEEE Access, Vol 8, Pp 148757-148778 (2020)
There are problems that are difficult to solve through mathematical programming or by classical methods. These problems are called hard problems due to their high complexity or high dimension. On the other hand, mataheuristics intends to seek a bette
Externí odkaz:
https://doaj.org/article/ce825b6bdf2f4e1eb90d570a44c57396
Autor:
Martin Pedroza-Villalba, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Barbara Calva-Yanez, Eric Santiago-Valentin, Enrique Alcala-Fazio
Publikováno v:
IEEE Access, Vol 6, Pp 72609-72619 (2018)
In this paper, an alternative approach for topology optimization of truss-type structures is presented. The structural design is translated to a constrained discrete optimization problem based on weight reduction, with performance considerations incl
Externí odkaz:
https://doaj.org/article/7d6e7981a647497e866adb69c186d642
Autor:
Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Maria Barbara Calva-Yanez, Gabriel Sepulveda-Cervantes, Jorge Alexander Aponte-Rodriguez, Eric Santiago-Valentin, Jose Marco Antonio Rueda-Melendez
Publikováno v:
IEEE Access, Vol 5, Pp 6002-6014 (2017)
Hybrid metaheuristics, explored in recent literature, are optimization methods that combine a global search metaheuristic with algorithms for refinement that in turn can be stochastic or deterministic. Although initially they were applied to combinat
Externí odkaz:
https://doaj.org/article/873d70c472ed4e3cb489a5ac6925fcb6