这里介绍了遗传模糊系统的各种模型和应用领域，分析了此领域的研究方向和趋势。
It gives a brief introduction to models and applications of genetic fuzzy systems, and analyses the directions and trends of research on fuzzy systems.
利用遗传算法求解数学模型，解决了最终优化目标可能存在多个局部最优解的问题，拓宽了模糊物理规划的应用范围。
Genetic Algorithms is used in solving the mathematical model, it can obtain the global optimum even if there exists local optimums, and enlarge the application range of Fuzzy Physical Programming.
通过引入模糊理论提出了电厂机组负荷分配模型，并运用改进的遗传算法进行求解。
A model for the optimization load allocation among power generating units is proposed by using fuzzy theory and solve it with the improved GA.
使用基于分布式母线，并考虑经济约束的最优潮流(opf)模型，利用其可伸缩约束条件进行模糊化处理，运用改进遗传算法求解最优潮流。
And then the OPF model is changed into fuzzy using the flexible restrictions, and is operated on by the improved Genetic Algorithms.
针对数学模型复杂的轮式机器人的转向控制问题，使用基于遗传算法的模糊神经网络转向控制方法。
As the mathematic model of the wheeled mobile robot is very complicated, a GA (genetic algorithms) fuzzy neural network method is presented for its steering control.
针对数学模型复杂的轮式机器人的转向控制问题，使用基于遗传算法的模糊神经网络转向控制方法。
As the mathematic model of the wheeled mobile robot is very complicated, a GA (genetic algorithms) fuzzy neural network method is presented for its steering control.
应用推荐