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zydp
- 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
GAAS
- 关于遗传算法和蚁群算法的一个模拟程序! -wu
GA_ppt
- 本文档主要介绍智能优化算法的应用,并详细介绍了遗传算法和蚁群算法。-This document focuses on the application of intelligent optimization algorithms, and details of the genetic algorithm and ant colony algorithm.
Intelligentapplicationofthealgorithms
- 智能化算法的应用,介绍了各种智能算法的概况,详细介绍了蚁群算法、免疫算法、遗传算法、粒子群算法在配电网重构中的应用,可以管中窥豹地学习智能算法在具体问题中的应用-The application of intelligent algorithms, introduced an overview of the various intelligent algorithms, detailed information on ant colony algorithm, immune algorithm,
alogise
- 该文件中总共包括两种算法,蚁群算法和遗传算法,还有利用蚁群算法对参数进行优化。-The file includes a total of two algorithms, ant colony algorithm and genetic algorithm, the ant colony algorithm to optimize the parameters.
ant-colony-
- 基于目标函数变化率的混合蚁群遗传算法-Hybrid ant colony based on the rate of change of the objective function of genetic algorithm
TSP
- 总结的混合粒子群算法、蚁群算法、遗传算法求TSP(旅行商问题),值得看一看-Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look
ant-algorithms-of-vrp
- 采用蚁群算法能够解决31个城市的旅行商问题,相对于遗传算法,模拟退火算法和其他的算法,蚁群算法有其自身的优势-Ant colony algorithm to solve the traveling salesman problem 31 cities, with respect to genetic algorithms, simulated annealing algorithm and other algorithms, ant colony algorithm has its own ad
nice
- 除了蚁群算法,可用于PID参数优化的智能算法还有很多,比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法,等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
先进算法讲义
- 其中包含蚁群算法,退火算法,遗传算法等智能算法,参加数学建模必备的优化算法
123
- 粒子群算法求极值蚁群算法求极值和遗传算法求极值-Particle Swarm extremum extremum ant colony algorithm and genetic algorithms Extreme
现代优化计算方法
- 现代优化计算方法,介绍遗传算法,蚁群算法等智能优化方法(Modern optimization methods, such as genetic algorithm, ant colony algorithm and other intelligent optimization methods)
MATLAB智能算法30个案例分析程序
- 蚁群算法、遗传算法、免疫算法等智能优化算法应用代码(Application code of intelligent optimization algorithms, such as ant colony algorithm, genetic algorithm, immune algorithm and so on)
智能优化算法应用于近红外光谱波长选择的比较研究
- 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an