Paper Info
Title
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.
Year
DOI
Venue
2009
10.1109/ICNC.2009.241
ICNC (4)
Keywords
Field
DocType
poles and towers,structural optimization,high-voltage steel tower,topology optimization rule,proposed aga,global optimization result,steel tower,optimization solution,structural engineering,topology combination approach,optimization scheme,topology,genetic algorithms,binary genetic coding,topology optimization theory,topology optimization method,adaptive genetic algorithm,transmission steel tower,optimization,topology optimization,genetic code,high voltage,shape,penalty function,encoding,fitness function,global optimization
Mathematical optimization,Tower,Crossover,Global optimization,Computer science,Meta-optimization,Fitness function,Topology optimization,Genetic algorithm,Penalty method
Conference
Volume
ISBN
Citations 
4
978-0-7695-3736-8
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Huiyong Guo101.35
Zhengliang Li221.09