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遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format
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分析了排课的数学模型， 根据遗传算法本身特点设计了一种数据结构基因编码 ， 及几个涉及到的优化 目标评价函
数 ， 提出了利用遗传算法解决排课问题的方法， 并通过试验验证了该方法的有效性、 可靠性 ．-Timetable analysis of the mathematical model, according to the characteristics of genetic algorithm design of a data structure of genes encoding,
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文件中包含一些资源调配相关的论文，其中涵盖了资源掉配模型的研究，并采用蚁群算法、遗传算法来实现。-Document contains a number of papers related to the allocation of resources, which covers the allocation of resources out of the research model and the use of ant colony algorithm, genetic algorithm to
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遗传算法应用于软件测试中的自动测试数据的生成-Genetic algorithm applied to automated software testing in the generation of test data
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利用改进的遗传算法求取函数的最大值，进行优化设计，在MATLAB下可以运行使用。-Using improved genetic algorithm to strike a function of the maximum optimized design, the use of MATLAB can be run under.
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量子遗传算法应用于物理频谱分析，结果表明基于量子遗传算法的频谱分配算法性能明显优于颜色敏感图论着色算法-Quantum genetic algorithm is applied to the physical spectrum analysis, the results show that genetic algorithm based on quantum of spectrum allocation algorithm is superior to color-sensitive color
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传统PID控制器通常难以满足多变量、非线性、强耦合的步进电机动态响应和精
确调速要求,结合传统PID控制和模糊控制及遗传算法(GA)整定PID参数的优点,设计基于
模糊遗传算法的实时自适应步进电动机PID控制器,充分发挥传统和智能控制策略各自的优
势。仿真结果表明,该实时自适应步进电动机PID控制器,具有很好的自适应能力和抗负载扰
动能力。在稳定性、动态速度响应诸方面均优于传统的PID控制器和模糊控制器,系统达到了
较高调速性能和控制精度。
-Traditional PI
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简要阐述了遗传算法的基本原理，探讨了在 环境中实现遗传算法各算子的编程方法，并以一个简单的实例说明所编程序在函数全局寻优中的应用。-Briefly described the basic principles of genetic algorithms to explore the genetic algorithm in the environment to achieve the operator' s programming, and a simple example shows t
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介绍一种改进传统遗传算法的新方法，通过调节交叉概率和变异概率-Introduction of a new genetic algorithm to improve the traditional method, by adjusting the crossover probability and mutation probability
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遗传算法生成实例讲解，包括源代码，初学者指导工具。-Genetic algorithm to generate examples to explain, including source code, for beginners, guiding tool.
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本代码用遗传算法解决多技能呼叫中心问题的排班问题,使用的是基本遗传算法-genetic algorithm to solve staffing problem in multi-skill call centers
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基于排序选择的遗传算法,讨论不确定性约束等相关问题的解决方案及实例-Ranking selection based on the genetic algorithm, discuss the uncertainty constraints and other issues related to the solutions and examples
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遗传算法解决背包问题 报告代码已经结果分析-Genetic algorithm to solve the knapsack problem
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基于Matlab的遗传算法实现，适用于在matlab环境下进行遗传学的实验的分析-Based on Matlab genetic algorithm applied to the analysis of the genetics experiments in the Matlab environment
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遗传算法求解函数最大值,本文将用一个详细的例子来说明用遗传算法解一个简单参数优化问题的过程。这里求解的是一个函数的最大值的问题。-Genetic algorithm function maximum, this article will use an example to illustrate in detail the genetic algorithm for solving the problem with a simple parameter optimization process.
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遗传算法求函数最优解,在这里，我用C语言对同样的一个函数进行了仿真，在C语言中，所有关于遗传算法的函数需要自己编写，因此可以更清楚的理解遗传算法，了解它的执行过程。-Function of genetic algorithms optimal solution, here, I used the same one for the C language function simulation, in the C language, all on Genetic Algorithms functio
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A Genetic Algorithm Approach to the Scheduling for FMS
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The above attached file is a unit commitment optimization problem for 10 unit system using Genetic Algorithm.The main objective is to meet the demand and load constraints.The generation schedule of 10 unit system for 24 hours is generated.
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Solving reliability and redundancy allocation problems via meta-heuristic algorithms has attracted
increasing attention in recent years. In this study, a recently developed meta-heuristic optimization algorithm
cuckoo search (CS) is hybridized wi
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用遗传算法解决车辆优化调度问题 jsp.计算机毕业程序，万套成品加定做。Q1533974260-Using genetic algorithm to solve the vehicle optimal scheduling problem
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