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Optimal Forward Kinematics Modeling of Stewart Manipulator Using Genetic Algorithms
Stewart Forward Kinematics Predicted Squared Error Genetic Algorithm
2010/1/15
In this paper, a new technique for modeling the forward kinematics of a Stewart manipulator is presented based on a predicted squared error cost function. Initially, the inverse kinematics model was i...
基于不可行度的机压树状管网退火遗传算法优化（Optimization of Pumping Tree Pipe Network by Using Annealing-genetic Algorithms Based on Infeasible Degree）
树状管网 遗传算法 模拟退火
2009/9/25
规定管网中每一管段最多只能由两种管径的管道组成，提出一种以管网年费用为目标函数，以水泵扬程、管长和标准管径为决策变量的机压树状输水管网优化数学模型。定义种群中个体的不可行度函数，采用基于解的不可行度退火算法处理约束条件。应用模拟退火算法，对解的不可行度进行局部优化，使其逐步逼近可行解。将遗传算法全局优化和模拟退火的良好局部搜索能力有机结合，构造出一种退火遗传算法用于机压树状管网优化设计。仿真结果表...
Mining Classification Rules by Using Genetic Algorithms with Non-random Initial Population and Uniform Operator
Data Mining Classification Rules Genetic Algorithms
2009/7/28
Classification is a supervised learning method that induces a classification model from a database and is one of the most commonly applied data mining task. The frequently employed techniques are deci...
A DIFERENT APPROACH IN THE PARAMETERS’IDENTIFICATION OF A JFET USING GENETIC ALGORITHMS
genetic algorithm parametric identification objective function
2010/1/12
The genetic algorithms are developing in three directions: the genetic
algorithms theory, the genetic algorithms programming and the study of the problems
that can be solved with genetic algorithms....