Application of an Improved Genetic Algorithm for Optimal Design of Planar Steel Frames

Genetic Algorithm (GA) is one of the most widely used optimization algorithms. This algorithm consists of five stages, namely population generation, crossover, mutation, evaluation, and selection. This study presents a modified version of GA called Improved Genetic Algorithm (IGA) for the optimizati...

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Veröffentlicht in:	Periodica polytechnica. Civil engineering. Bauingenieurwesen 2019-01, Vol.63 (1), p.141
Hauptverfasser:	Madhkhan, Morteza, Baradaran, Mohammad Reza
Format:	Artikel
Sprache:	eng
Schlagworte:	Convergence Crossovers Design Design optimization Finite element method Frame design Genetic algorithms Immunoglobulin A Performance evaluation Population Programming languages Solutions Steel Steel frames Steel structures Structural analysis
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