OPTIMAL CONFIGURATION OF VISCOUS DAMPERS IN TALL BUILDINGS BASED ON DIGITAL SEQUENCE CODING GENETIC ALGORITHM
Yan Lewei1，Chen Yangyang2，Zhou Yun1
1. School of Civil Engineering, Guangzhou University, Guangzhou 510006，China 2. Earthquake Engineering Research and Test Center, Guangzhou university, Guangzhou 510006, China
Abstract：An optimal configuration method of dampers in tall buildings is presented based on digital sequence coding genetic algorithm (DSCGA). Compared with standard genetic algorithm (SGA), the present algorithm can completely represent the solution space of the optimization problem as the number of damper is not equal in each damper-installation storey. A gene bit of digital sequence code represents an installation position of a damper, and, the value denotes the damper-installation storey. With the present digital sequence coding, the size of the genotype space can exactly be consistent with that of the phenotype space, while strictly legitimacy, completeness, Lamarckian property, and strongly causality are satisfied. The discrete-recombination cross operator, corresponding to the digital sequence coding, ensured the effective evolution of the population. Furthermore, fitness function is constructed based on relative objective function value, which can not only fully embody the fitness difference in population but also promote effective evolution to obtain the global optimal solution as a result. The method is applied for a typical damper configuration optimization problem, in which the 20-storey Benchmark structure under a frequent seismic level is considered. The efficiency and applicability of the present algorithm are assessed.
2015, Vol. 34 
