搜索资源列表
Self-MATLAB-code-genetic-algorithm
- 发一份自编的MATLAB遗传算法代码,用简单遗传算法(Simple Genetic Algorithm or Standard Genetic Algorithm ,SGA)求取函数最大值-Send a self-compiled MATLAB genetic algorithm code, with the simple genetic algorithm (Simple Genetic Algorithm or Standard Genetic Algorithm, SGA) to stri
SGA
- 遗传算法经典源代码,可移植性极强,方便测试-Classical genetic algorithm source code, portability is extremely convenient test
GA-CPP
- 基本遗传算法(Simple Genetic Algorithms,简称SGA,又称简单遗传算法或标准遗传算法),是由Goldberg总结出的一种最基本的遗传算法,其遗传进化操作过程简单,容易理解,是其它一些遗传算法的雏形和基础。 -Basic genetic algorithm (Simple Genetic Algorithms, referred to as the SGA, also known as simple genetic algorithm or standard genetic
Agent_GA
- 将Agent和遗传算法相结合,得到新的基于Agent的GA算法,加速了标准遗传算法的收敛性。-Based_agent GA algorithm is very usful for improving the SGA.
SGA
- 遗传算法解决旅行商(tsp)问题,规模较小,适合初学者学习。-Genetic algorithm to solve traveling salesman (tsp) problem, smaller, suitable for beginners to learn.
youhua
- 给出了基于MGA算法和SGA算法的结果比较,得到所要求的函数优化结果。-MGA algorithm is given based on comparison of the results and SGA algorithms, function optimization to get the required result.
SGA
- 经典的实数编码遗传算法 采用轮盘赌 用于解决函数优化-The classic real-coded genetic algorithm for sloving the function optimization by Roulette
answer3
- sga的一个小例程,是个真实的源代码,可以看看哦-sga a small routine, is a true source code, you can see Oh
Oracle.Performance.Tuning
- hared Pool是Oracle SGA设置中最复杂也是最重要的一部分内容,Oracle通过Shared Pool来实现SQL共享、减少代码硬解析等,从而提高数据库的性能。在某些版本中,如果设置不当,Shared Pool可能会极大地影响数据库的正常运行-hared Pool Oracle SGA setting is the most complex and most important part, Oracle SQL through the Shared Pool to achieve
MATLAB
- 遗传算法(Genetic Algorithm)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法,它最初由美国Michigan大学J.Holland教授于1975年首先提出来的,并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》,GA这个名称才逐渐为人所知,J.Holland教授所提出的GA通常为简单遗传算法(SGA)。 -In artificial intellig
SGA
- 按照标准的遗传算法步骤编写的matlab遗传算法程序-Matlab genetic algorithm written in accordance with the standard genetic algorithm steps
SGA
- Standard Binary Genetic Algorithm
GA
- 遗传算法(Genetic Algorithm)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法,它最初由美国Michigan大学J.Holland教授于1975年首先提出来的,并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》,GA这个名称才逐渐为人所知,J.Holland教授所提出的GA通常为简单遗传算法(SGA)。-a genetic algorithm (GA)
sga
- 基于基本遗传算法的函数最优化 《遗传算法——理论、应用与软件实现》,王小平、曹立明编着 -A function of the basic genetic algorithm-based optimization "Genetic algorithm- theory, application and software implementation, Wang Xiaoping, Cao Liming, ed
oracle
- oracle内存结构:主要介绍SGA、PGA与UGA的功能与作用,及其它们的联系-oracle memory structure: describes the function and role of the SGA, PGA and UGA, and their contact
SGA
- Simple Genetic Algorithm
SGA
- 基本遗传算法,有c语言实现的,根据遗传算法的原理对函数极值进行求解-Basic genetic algorithm, with C language, according to the principle of genetic algorithm for solving extreme value of function
SGA
- 主要通过Matlab实现遗传算法的操作,帮助那些对遗传算法感兴趣的人进行学习参考-Matlab genetic algorithm operation to help those people interested in the genetic algorithm to learn the reference
develop_GA
- 针对SGA的早熟,收敛慢,收敛于次优点的缺陷,做三大改进:自适应交叉变异,模拟退火,交叉方式改进,速度提升65 -For the SGA premature, slow convergence, convergence on the merits of defects, do the three major improvements: Adaptive crossover and mutation, simulated annealing, the cross-ways to improve 6
SGA
- 运用了简单遗传算法,在matlab环境下设计了轮盘赌法-Simple genetic algorithm roulette