Genetic algorithms (GA) together with a boundary sampling strategy are proposed for optimal statistical design.
对于最优统计设计，本文提出了遗传算法(GA)以及边界抽样策略。
By choosing appropriate operators and parameters, genetic algorithms (GA) can solve the traveling salesman problem (TSP) effectively.
通过选择合适的算子和参数，遗传算法(GA)可以有效求解旅行商问题(tsp)。
This dissertation presents the studies of genetic algorithms (GA) based model structure and parameters conjunct identification, PID optimization, and the engineering application method.
本论文是基于遗传算法(GA)的模型结构和参数共同辨识、PID参数的优化整定和工程应用方法的研究。
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