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将遗传算法 (GA)和模拟退火 (SA)应用于飞机方案优化设计 ,给出了算法实现过程 .对同一算例进行了优化实验 ,对二者进行了对比分析 .实验结果表明 SA达到收敛所需迭代次数及方案分析次数远较 GA为多 ,但其优化结果要好于 GA.这两类非数值优化方法应用于实际的飞机方案优化问题 ,必须首先解决由于所需方案分析次数太多而导致的计算效率低下问题 .相对而言 GA较 SA在实际飞机方案设计中有更好的应用前景 .
Genetic algorithm (GA) and simulated annealing (SA) are applied to the optimization design of aircraft program, and the algorithm realization process is given.Optimization experiment of the same example is carried out, and the two are compared and analyzed.Experimental results show that SA achieves convergence The number of iterations required and the number of program analyzes are far more than those of GA, but the optimization results are better than those of GA. These two kinds of non-numerical optimization methods are applied to the actual aircraft program optimization problem, which must first solve the problem that, The computational efficiency is low.Compared with GA, SA has a better application prospect in the design of actual aircraft.