搜索资源列表
Allocation3
- 遗传算法的配送中心选址设计代码，针对选择多个配送中心的。-GA Distribution Center site design code, choosing several distribution centers.
DataForJSP
- 遗传算法 JSP 用的基本文件，很有价值哦 自己设计的 调试了-GA JSP the basic documents of great value Oh own design debugged
GAprogram
- ga测试程序，测重于理解遗传算法，对初学者来说比较重要，对那些做毕业设计的人来说也是一个好程序-ga testing procedures, focusing on understanding the genetic algorithm, for beginners, it is rather important. those who do graduate of the design is also a good procedure
020307
- 试题库设计和自动组卷中的几个问题.对如何组卷以及一些具体方法做了介绍-web database design and automatic GA some issues. How to Test Paper, and some specific methods introduced
GAPSO-share
- 我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。-GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, bu
java_evolutionary_algorithms
- 用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm Evolutionary Algorithm package implemented using Java. The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorith
Moussa_Malab_codes
- the first code:Approximate Genetic Algorithm second code:Genetic Algorithm (GA) third code:Response Surface Methodology for Design of a PD Controller for Tanker Ship Heading Regulation forth code:optimization problem for genetic algorithms fi
GSA_FloorplanDesign
- This file contains a complete project on implementing mixed Genetic and Simulated Annealing alghorithms in try of solving Floorplan Design problems. In the code you can easily change some basic functions as population, temprature, it s changes. You c
fpga
- 基于现场可编程门阵列( Fie ld Programmab le Ga teA rrays, FPGA )硬件平台和背景差分算法设计一个静态背景下 的视频移动目标检测与跟踪系统, 并详细给出系统的实现过程。检测结果表明: 采用FPGA硬件实现系统设计, 极大地提高了 系统的处理速度, 在静态背景下, 可以实时、准确地检测和跟踪到移动目标。-Based on field programmable gate array (Fie ld Programmab le Ga teA rrays,
Genetic-Algorithms
- 遗传算法的运行机理及特点是具有定向制导的随机搜索技术，其定向制导的原则是：导向以高适应度模式为祖先的“家族”方向．以此结论为基础．利用随机化均匀设计的理论和方法，对遗传算法中的交叉操作进行了重新设计，给出了一个新的GA算法，称之为随机化均匀设计遗传算法．-Operating mechanism and genetic algorithm is characterized by directional guided random search techniques, the directional
TSP110707-1
- 旅行商问题是一个典型的NP完全性问题。本文基于改进的自适应遗传 算法设计并开发了一个求解旅行商问题的软件程序，并将此程序进行了48 个城市的TSP问题计算，与模拟退火算法的计算过程及计算结果进行了比 较。文中给出了遗传算法在解决TSP问题中的参数选择和编码方式、适应 度函数的设计、种群的初始化和遗传算子的详细设计。通过对此程序的改 装，即可用于其他NP完全性问题的求解。-The traveling salesman problem is a typical NP proble
lakeast-v1.0
- GA和PSO融合的源码，多个示例，设计模式重构-Integration of GA and PSO source, multiple examples, design patterns reconstruction
nsga-original
- 非支配排序算法，用于求解多目标问题，c语言。-This is a GA implementation for multi-objective optimization. *** *** For multi-objective optimization, non-domonated sorting has *** *** been used. The design variables can be Binary, Integer, Real *** *** or Enumerat
BpandAnn
- 最近在做关于遗传算法优化神经网络方面的内容，找的一些资料，可能会对你有帮助哦-Some papers and articles about how to use the GA optimize the ANN,it may help you to use this method to design some algorithm
nsga2
- 这是一个遗传算法实现多目标优化。对多目标优化,non-domonated整理已用。设计变量可以是二进制,整数,实数的或枚举数据类型。 -This is a GA implementation for multi-objective optimization. For multi-objective optimization, non-domonated sorting has been used. The design variables can be Binary, Integer,
GA-of-MATLAB-program-design
- 遗传算法Matlab的核心思想讲解，流程阐述以及算例代码-The core idea of the genetic algorithm Matlab to explain, the process described and example code
189-199
- As the compact design of a muffler system within a constrained environment of a existing machine room becomes obligatory, it also becomes essential to maximize the acoustic performance of mufflers under space constraints. In this paper, the sha
v27-83
- Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a giv
pingmianmofang
- 基于遗传算法的平面魔方问题研究，共六步，仅供参考-Graphic Design Magic Based on GA
GA_framework
- 新的GA工具箱用于单或多目标优化，MATLAB设计-GA toolbox for single and multi-objective optimization, MATLAB design