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http://hdl.handle.net/10553/113679
| Título: | A Nash Genetic Algorithm for the Fully Stressed Design Problem in Structural Engineering Optimization | Autores/as: | Greiner Sánchez, David Juan Periaux, Jacques |
Clasificación UNESCO: | 120601 Construcción de algoritmos 120326 Simulación 330532 Ingeniería de estructuras |
Palabras clave: | Optimización numérica, Algoritmos genéticos | Fecha de publicación: | 2014 | Conferencia: | Mathematical Modeling and Optimization in Mechanics (MMOM 2014). Jyvaskyla, Finland | Resumen: | In this lecture we solve the fully stressed design problem in structural engineering using a game-theory based Nash – Genetic algorithm (Nash-GAs). The procedure performance is analyzed on different set of variable splitting of the problem in a fifty-five bar sized test case of discrete real cross-section types bar structure and compared also with the standard panmictic genetic algorithm. Results indicate that a significant increase of performance can be achieved using the proposed hybridized Nash game and Evolutionary Algorithm method. | URI: | http://hdl.handle.net/10553/113679 | URL: | https://www.researchgate.net/publication/307457475_A_Nash_Genetic_Algorithm_for_the_Fully_Stressed_Design_Problem_in_Structural_Engineering_Optimization |
| Colección: | Actas de congresos |
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