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在简单遗传算法应用过程中 ,为了解决早熟现象、收敛缓慢和解的精度差等问题 ,提高遗传算法的优化性能 ,借助正交试验法的全局均衡设计思想和自然界的小生境思想 ,在引入了一些高效进化操作的基础上 ,提出了一种基于正交试验法的小生境混合遗传算法 ,并进行了性能分析和实例研究 .研究结果表明 ,该算法能够有效地增强遗传算法的全局收敛性 ,加快进化速度 ,同时算法稳定性也得到了一定的提高
In the process of application of simple genetic algorithm, in order to solve the problems of premature, slow convergence and poor accuracy of solution, and so on, the optimization performance of genetic algorithm is improved. With the help of global equilibrium design of orthogonal test and niche idea of nature, Based on the efficient evolutionary operation, a niche hybrid genetic algorithm based on orthogonal test method is proposed, and the performance analysis and case study are carried out. The results show that this algorithm can effectively enhance the global convergence of genetic algorithm and accelerate The speed of evolution, while the stability of the algorithm has also been a certain increase