Discrete swarm intelligence optimization algorithms applied to steel–concrete composite bridges

Composite bridge optimization might be challenging because of the significant number of variables involved in the problem. The optimization of a box-girder steel–concrete composite bridge was done in this study with cost and CO2 emissions as objective functions. Given this challenge, this study prop...

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Veröffentlicht in:	Engineering structures Jg. 266; S. 114607
Hauptverfasser:	Martínez-Muñoz, D., García, J., Martí, J.V., Yepes, V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.09.2022 Elsevier BV
Schlagworte:	Algorithms Box girder bridges Box girders Bridge Carbon dioxide Carbon dioxide emissions Combinatorial optimization Composite bridges Composite materials Composite structures Concrete bridges Emissions Girder bridges Heuristic methods Intelligence K-means Machine learning Metaheuristics Operators (mathematics) Optimization Simulated annealing Steel bridges Swarm intelligence Transfer functions Trigonometric functions K-means Combinatorial optimization Composite structures Metaheuristics Bridge
ISSN:	0141-0296, 1873-7323
Online-Zugang:	Volltext
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