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。
Applying genetic algorithms optimization principle to the Bowromi formula to determine proper a, B value. The result shows that GA is good for optimization and overall search.
将遗传算法的优化原理应用到鲍罗米公式中，用以确定合适的A、B值。其结果表明，遗传算法具有优良的全局搜索优化能力。
Through a hybrid way to combine Genetic Algorithms (GA) with convention nonlinear optimization, a study of automated match typical curve of well test has been done by this paper.
采用遗传算法与常规非线性优化方法相结合的途径，进行试并典型曲线的自动拟合研究。
Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been used extensively for global optimization.
搜索技术，诸如遗传算法，模拟退火算法，禁忌搜索和随机移动算法，已经广泛应用于全局优化。
For the Course Dispatching problem is a NP-Completed combination optimization problem, I design a Genetic Algorithms to search its proximate optimum solution.
由于排课问题是一个NP完全的组合优化问题，采用遗传算法来搜索其近似最优解。
As a new type of searching method for global optimization, Genetic algorithms has some merits such as intelligence searching, parallel mode, robust and wide application.
遗传算法作为一种新的全局优化搜索方法，具有智能性搜索、并行式计算、鲁棒性强、应用范围广等优点。
The channel assignment problem belongs to the class of NP complete optimization problems, so we propose a new fixed channel assignment approach based on genetic algorithms.
信道分配问题属于组合优化中的NP完备问题，为此在遗传算法的基础上提出了一种新的固定信道分配方法。
The results show that the system of high speed milling parameters optimization based on genetic algorithms is practicability.
结果表明，基于遗传算法的高速铣削参数优化系统的具有较强的实用性。
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。
The productive method on the initial population is studied by using genetic algorithms to solve the constrained optimization problems. The study gives the new method of initial population evolution.
针对用遗传算法求解约束优化问题时，初始种群产生的方法进行了研究，提出了初始种群产生的一种新方法。
A method based on Variants of Canonical Genetic Algorithms was proposed to solve the optimization of mixing machine drive system.
提出了一种基于变形遗传算法的和面机传动系统优化方法。
In accordance with the above analysis, Comprehensive improving measures are proposed for enhancing the accurate optimization ability of real coded genetic algorithms.
依据所作的理论分析，提出了增强实数编码遗传算法精确优化能力的综合改进措施。
Based on the optimization model and the work process of genetic algorithms, the program was written to calibrate the groundwater model.
基于优化模型和遗传算法的运算过程，编写计算程序，实现地下水数学模型的自动识别。
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。
It is an efficient method to solve engineering optimization problems with neural networks and genetic algorithms.
神经网络建模和遗传算法优化是求解工程优化问题的一种行之有效的方法。
Genetic algorithms to solve the multi-objective optimization problems have their unique advantages, and the spacecraft orbit maneuver was a typical multi-objective optimization problem.
遗传算法在解决多目标优化问题中有其独特的优势，而航天器轨道机动是典型的多目标优化问题。
An optimization design of small rolling missile controller parameter based on genetic algorithms was developed.
提出了一种基于遗传算法的小型旋转弹控制器参数优化设计方法。
Utilizing the genetic algorithms to solve optimization goal.
运用遗传算法求解优化目标。
A shaped beam base station antenna is realized with the unequal spacing array using an optimization technique based on genetic algorithms.
本文利用遗传算法对不等间距阵列天线进行优化，实现了一种赋形波束基站天线。
The method consists of two parts: aerodynamic performance calculation based finite blade vortex theory and aerodynamic optimization design based genetic algorithms.
该方法分为两部分：基于有限片桨叶涡流理论的气动性能计算和采用遗传优化算法的优化设计。
Then optimization model with the membership degree is constructed. It is solved by using genetic algorithms with dynamical castigatory function.
然后结合隶属度变量构建优化模型，利用具有动态惩罚函数的遗传算法求解，计算得到各方案的所属类别。
Genetic algorithms have mainly been applied to optimization since their forthcoming. In this paper, a new applied of genetic algorithms is put forward according to their schema-processing efficiency.
遗传算法从提出到现在都主要用于处理优化问题，而文章将根据遗传算法模式处理能力的特点给出其一种新的应用。
This paper presents a new on-line optimization method for parameter control of a course keeping autopilot based on genetic algorithms.
采用遗传算法对航向保持自动操舵仪控制参数进行在线优化。
The optimization technology of process routes based on elitist selection Genetic Algorithms (GA) was put forward, and an application of optimization method in the process planning was studied.
提出了基于精英选择策略遗传算法的工艺优化技术，详细研究了遗传算法在工艺优化中的应用过程。
Using explicit dynamic FEM as a solver, process parameter optimization design on laser bending of rectangular sheet metals was conducted with genetic algorithms (GA).
提出了一种以动态显式有限元为解算器，并采用遗传算法对矩形板激光弯曲成形工艺参数进行优化设计的方法。
Using explicit dynamic FEM as a solver, process parameter optimization design on laser bending of rectangular sheet metals was conducted with genetic algorithms (GA).
提出了一种以动态显式有限元为解算器，并采用遗传算法对矩形板激光弯曲成形工艺参数进行优化设计的方法。
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