Cost Optimization Of Reinforced Concrete Frames Using Genetic Algorithms

In this research, cost optimization of reinforced concrete plane and space frames usingrngenetic algorithms is presented. Previous research endeavors have used highly simpli edrncontinuous and discrete optimization models, while ignoring constructibility. Additionally,rnthe optimization of 3D frames was done without due consideration to shear, torsionalrne ects and sizing constraints. This paper constructs an optimization model with thesernpoints in mind. An integrated software architecture has been developed to implementrnthe method, and benchmark examples were used to compare its feasibility and e ciencyrnwith the traditional assume-check design method as well as other heuristic methods. Designrncheck procedures were based on Eurocode-2(2004). Performance and computationalrncomplexity of the algorithm is developed along with a thorough study assessing the e ectrnof genetic parameters such as mutation and crossover on the optimization process. Thernmethod developed proves to be superior as compared to the traditional design paradigmrnand heuristic methods.rnKeywords: Concrete Frame Optimization, Structural Optimization, Genetic Algorithms,rnEurocode , Sizing Optimization, Object-Oriented Model

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