Optimization of reinforced concrete frame bridges by parallel genetic and memetic algorithms

This paper deals with the automated design and economic optimization of reinforced concrete frame bridges typically used in road construction. The optimization algorithms applied are (i) parallel genetic algorithms (PGA) and (ii) parallel memetic algorithms (PMA). The evaluation of solutions follows the Spanish Code for structural concrete. Stress resultants and envelopes of framed structures are computed by an internal and onta rein cabl ked ear e e the sys he c matrix method program. Design loads for the earth fill for road bridges. The structural optimization model c variables, 3 types of concrete and 44 variables defining introduced have been selected to achieve a model appli includes the ULS of fatigue plus other commonly chec shear. The deflection checks are carried out in a nonlin effect. Comparing the aforementioned two methods, th strated. In the particular case considered, PMA improve PMA exhibit a better speed-up on a parallel computer span RC frame bridge, which has been optimized for t