This paper describes how to apply double-coded self-adaptive genetic algorithms based on gravity to supply water to optimize the design of pipe networks.
介绍了如何应用双重编码的自适应遗传算法对依靠重力供水的环状管网进行水力计算的优化设计。
On the basis of analyzing the principles of basic genetic algorithms and discussing its existing problems, this paper promotes generalized self adaptive genetic algorithms.
本文在分析基本遗传算法的原理与存在问题的基础上，提出了一种广义自适应遗传算法。
Genetic algorithms mimic Darwinian natural selection, where "fitness" selects individuals for survival, breeding, and, hence, adaptive mutation.
遗传算法模仿达尔文的自然选择，其中“适应性”选择进行生存、繁殖以及由此而来的适应性变异的个体。
By borrowing the ideas of population from genetic algorithms, we introduce an adaptive random search in quasi_Monte Carlo method (AQMC) for global optimization.
借用遗传算法中种群的概念，介绍了一种解全局优化的拟蒙特卡罗自适应搜索算法。
This paper presents a kind of adaptive neural network nonlinear systems control method based on genetic algorithms.
提出一种基于遗传算法的神经网络非线性自适应控制方案。
The Genetic Algorithms are optimized by the clustering analysis. The search area is reduced continuously by classifying the population. The continuously adaptive optimizing search is implememented.
通过种群优化分类，使搜索半径不断缩小，实现了自适应连续优化搜索，较大提高了网络优化收敛速度、解的精度及全域寻优能力。
This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
本文提出一种基于基因算法优化的自学习模糊控制器的设计。
The fundamental of genetic algorithms is introduced. Excavation schedule of slope is determined by means of adaptive learning genetic algorithms.
介绍遗传算法的基本原理，并采用自适应学习遗传算法排定某露天边坡的开挖步序。
The optimization design of highly adaptive backup rolls is used on the 4 stand tandem cold strip mill. The target function is strip shape, and the optimization method is genetic algorithms.
强适应性支撑辊的优化设计是以四机架冷连轧机为对象，以板形为目标函数，以遗传算法为优化方法进行设计的。
The optimization design of highly adaptive backup rolls is used on the 4 stand tandem cold strip mill. The target function is strip shape, and the optimization method is genetic algorithms.
强适应性支撑辊的优化设计是以四机架冷连轧机为对象，以板形为目标函数，以遗传算法为优化方法进行设计的。
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