Algoritmo simulated annealing modificado para diseño óptimo de estructuras de acero

Structural optimization aims to design structures under certain constraints to achieve better behavior and have a proper manufacturing cost. This type of optimization corresponds to highly non-linear and non-convex problems including several local optima. Therefore, to solve such problems effectivel...

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Detalles Bibliográficos
Autores: Millan-Paramo, Carlos, Abdalla Filho, João Elias
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:español
OAI Identifier:oai:upcommons.upc.edu:2117/165205
Acceso en línea:https://hdl.handle.net/2117/165205
https://dx.doi.org/10.23967/j.rimni.2019.03.003
Access Level:acceso abierto
Palabra clave:Numerical analysis
Algoritmo simulated annealing modificado (ASAM)
optimización estructural
diseño óptimo
estructuras de acero
Anàlisi numèrica
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica
Descripción
Sumario:Structural optimization aims to design structures under certain constraints to achieve better behavior and have a proper manufacturing cost. This type of optimization corresponds to highly non-linear and non-convex problems including several local optima. Therefore, to solve such problems effectively, designers need to use adequate optimization methods which can make a good balance between the computational cost and the quality of solutions. In this paper the modified simulated annealing algorithm (MSAA) is employed to solve optimal design of steel structures. MSSA is a newly improved version of the simulated annealing (SA) algorithm with three modifications: preliminary exploration, search step and a new probability of acceptance. The performance, robustness and applicability of the MSAA are demonstrated through six structural optimization problems. Obtained results in all considered examples indicate that the MSAA is superior to several other methods in existing literature in terms of the quality of solution and convergence speed.