الفهرس 
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Abstract
In this study, the optimal design of simple structural composite concrete beams was presented using the genetic algorithm (GA) technique and the generalized reduced gradient method (GRG). Optimization techniques generally allow designers to find the best design for the structure under consideration. The best structure design means the most economical structure without compromising the functional purposes the structure is supposed to serve. Genetic algorithms (GA) belong to the family of evolutionary algorithms. GA is an iterative procedure that is motivated by the ‘survival of the fittest’ principle of Darwinian Theory of natural evolution. Two types of structural beams are studied, namely: T-sections and rectangular simple reinforced concrete composite girders. These girders were designed according to the requirements of the ECP-203 code. The objective function comprises the cost of concrete, cost of reinforcement and cost of formwork for optimized girders. Computer models have been developed for the structural design optimization of reinforced concrete Composite simple beams using EVOLVER software. The results of these optimization models were compared with the results of other classical optimization spreadsheets which use the generalized reduced gradient (GRG) classical optimization method. In order to validate the developed GA models for the RC composite girder case, the investigation was carried out in two stages First, an example from the literature on concrete beams was re-solved and the results were compared to show how well our program worked as the results were very close. Second: Several examples of RC composite girders iii were studied using the traditional analysis, GA method, and GRG were studied in order to verify the accuracy of the programs and compare the percentages of difference in cost with the literature before starting this study. The effect of constant variables on the total cost of concrete and the effect of changing the grade of steel reinforcement on the total cost was studied, as well as the effect of compressive strength of concrete on the total cost. The results was appeared the genetic algorithms (GA) method represented in the EVOLVER program outperformed the Generalized Reduced Gradient (GRG) method technology represented in the EXCEL program, where the difference in results was about 13% in favor of the genetic algorithms (GA) method.