搜索资源列表
yj12
- 基于遗传算法的多目标优化的例子,是工具箱中的的例子-based on genetic algorithms multi-objective optimization example, the toolkit is an example
optLib
- 提供了常用的优化算法,包括约束变尺度法,拟牛顿法,遗传算法,多目标优化算法,Hookjeeves算法等多种算法。使用时先写好优化模型,生成相应的dll此优化库可以根据选择的算法对优化模型进行优化求解。-provide a common method of optimization, including CVMO1-, quasi-Newton method, genetic algorithm, multi-objective opti
TSPGACCODE
- 旅行商问题的遗传算法求解源代码,多目标优化经典问题的现代启发式算法实现-traveling salesman problem genetic algorithm source code, multi-objective optimization of the modern classic Heuristic Algorithm
hPSO
- 多目标遗传算法求解多目标优化问题的实际例子,运用matlab编写-Multi-objective Genetic Algorithm for multi-objective optimization problem actual examples, the use of Matlab prepared
nsga_2
- 基于非支配排序遗传算法处理多目标优化的matlab例程,可以自行修改-Based on NSGA handling multi-objective optimization of Matlab routines, can make its own decisions
MutiobjectiveOptimize
- 多目标遗传算法源码,包含遗传算法的各个步骤,适合于研究多目标优化的朋友
ZDT4
- 为了有效地应用遗传算法解决 鲁棒控制系统设计问题,将遗传算法与局部优化方法相结合,提出了基于降维扫描方法的自适应多目标遗传算法(DRSA-MOGA)。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法,提高了算法的全局优化性能和局部搜索能力。仿真结果表明,DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度
GAtoolbox
- 遗传算法程序最新版,可以提供不同的算子并且有多目标优化功能
multi-ga
- 自己编的遗传算法同BP神经网络结合的代码!并且在神经网络模型上进行多目标寻优,结果有doc文档详细说明!实现BP-GA多目标优化应用实例!
GA
- 基于免疫遗传算法的QOS路由选择问题 给予免疫遗传算法的多目标优化问题 -Immune genetic algorithm based QOS routing problems provide the immune genetic algorithm for multi objective optimization problem
nsga2
- 基于NSGA-Ⅱ算法的区域覆盖卫星星座优化将一种基于Pareto最优概念的快速非支配排序遗传算法(NSGA-Ⅱ)引入区域覆盖侦察卫星星座的多目标优化设计-Algorithm based on NSGA-Ⅱ regional coverage satellite constellation will be based on the concept of Pareto optimal fast non-dominated sorting g
GeneticAlgorithmsandFuzzyMultiobjectiveOptimizatio
- 遗传算法与模糊多目标优化经典电子书。是英文版的。是从事多目标优化的必备书-Genetic Algorithms and Fuzzy Multiobjective Optimization classic books. Is the English version. Multi-objective optimization is essential in the book
Multi-objective-optimization-GA
- 基于多目标优化遗传算法的用于电火花机床参数优化的matla程序源代码。-Multi-objective optimization genetic algorithm (for edm parameters optimization)
GA
- 遗传算法的简单程序,可用于离散变量优化,多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas
BP-based-on-genetic
- 基于遗传算法的BP神经网络在多目标优化中的应用研究-BP based on genetic algorithm neural network in multi-objective optimization of
geneticalgorithmwith
- 遗传算法的程序,可用于离散变量优化,多目标优化等许多领域.-the procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas .
智能优化算法
- 优化技术是一种以数学为基础,用于求解各种工程问题优化解的应用技术。作为一个重要的科学分支,它一直受到人们的广泛重视,并在诸多工程领域得到迅速推广和应用,如系统控制、人工智能、模式识别、生产调度、VLSI技术和计算机工程等。鉴于实际工程问题的复杂性、约束性、非线性、多极小、建模困难等特点,寻求一种适合于大规模并行且具有智能特征的算法已成为有关学科的一个主要研究目标和引人注目的研究方向。 20世纪80年代以来,一些新颖的优化算法,如人工神经
genetic algorithm
- 基于多目标网络优化问题,运用改进的遗传算法,进行算法寻优,以求运用最短时间,达到最高精度(Based on the multi-objective network optimization problem, the improved genetic algorithm is used to optimize the algorithm in order to achieve the highest accuracy by the sho
nsga2code
- 对多目标遗传算法进行解析,基于多目标协同优化算法编写的遗传算法程序,具有很好的收敛性,提供了相应测试算例。(Analyzing multi-objective genetic algorithm, the genetic algorithm program based on multi-objective cooperative optimization algorithm has good convergence, and provi
NSGA-II-Matlab-master
- 针对带有约束条件的多目标函数,进行多目标参数优化(For the multi-objective function with constraints, the optimization is carried out)