Optimization design of prestress for chord supported lattice shell structures based on AMCGA

Abstract

Genetic algorithm with storage mechanism and adaptive cross mutation is proposed to solve the problem of difficulty in optimizing the prestress of string supported lattice shell structures. Firstly, storage mechanism strategy is introduced into genetic algorithm(GA) to sort the individuals in the population in real-time, fully utilizing the direction information and search state of the current population. Then, heuristic adaptive crossover strategy and non-uniform adaptive mutation strategy are introduced to achieve adaptive adjustment of crossover mutation probability factor, effectively avoiding the population from falling into local optimal solutions in the later stage of iteration. Test function simulation experiments and engineering case applications show that compared with IGA, GDOIGA and IMPGA, AMCGA has fewer iterations, stronger global search ability, and higher quality of optimal solutions. When it is applied in prestress optimization of chord supported lattice shell structures, it has higher optimization efficiency and better optimization effect.

Keywords

• chord supported lattice shell structure
• genetic algorithm
• prestress optimization
• non-uniform adaptive mutation strategy
• heuristic adaptive crossover strategy