提出一种新型的自适应遗传算法。结合Logistic函数和余弦函数，对交叉、变异算子曲线进行非线性化处理，实现了交叉算子和变异算子的非线性自适应调整。用新算法求解测试函数，结果表明新算法能够提高收敛速度和精确度，有效地跳出局部收敛，避免早熟现象发生。并基于提出的新型自适应遗传算法，研究了截尾随机-模糊-区间变量的混合可靠性模型的优化问题，建立了以混合可靠性指标作为优化约束条件的混合可靠性优化模型。以某型飞机变速箱同步器系统的优化设计为例，验证了该模型在工程应用中的有效性。
This paper presents a new adaptive genetic algorithm. The crossover and mutation operator curves are processed nonlinearly based on the logistic function and cosine function. The nonlinear adaptive adjustment of the crossover operator and mutation operator is realized. The new algorithm is used to solve the test function. The results show that the new algorithm can improve the convergence speed and accuracy and effectively jump out of local convergence, avoiding the occurrence of precocious phenomenon. Based on the new adaptive genetic algorithm, optimization of the mixed reliability model with censored random-fuzzy-interval variables is studied. A hybrid reliability optimization model is established based on the mixed reliability index. The optimization design of a transmission synchronizer system is conducted to show the applicability of the model proposed.
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