Adaptive Genetic Algorithm and its Application to the Structural Optimization of Steel Tower

Abstract

An adaptive genetic algorithm (AGA) to optimize transmission steel tower by using topology optimization theory is presented. First, topology optimization rule and topology combination approach are presented to build the optimization scheme; then, the binary genetic coding is proposed to describe the size of tower, and the fitness function of AGA is obtained by using the penalty function; finally, the adaptive crossover and mutation operators are proposed and the adaptive genetic algorithm is applied to find the optimization solution. Thus, the global optimization result is acquired, which is more economic than the primary structure. A high-voltage steel tower is analyzed as a numerical example to illustrate the performance of the proposed method. The calculated results demonstrate the proposed AGA and topology optimization method can perfectly optimize the tower structure.