搜索资源列表
nsga2code
- 一个关于多目标优化算法的程序，经典遗传算法求解多目标优化问题源码-Classical genetic algorithm for solving multi-objective optimization problem source
nsga2-MOP
- 自己编的一段程序 可用于多目标优化 算法为遗传算法 亲测可以运行 -Own a program for multi-objective optimization algorithm GA pro-test can be run Thanks
NSGA2-MATLAB-Codes
- nsga-2 实现多目标优化的算例利用简单的二进制编码进行遗传变异运算-nsga-2 An example of multi objective optimization
multi-objective-
- MATLAB实现遗传算法程序解多目标规划很好用-MATLAB genetic algorithm to solve multi-objective programming is very easy to use
Biogeography-Optimization-algorithm
- 生物地理学优化算法，作者Dan Simon，是在遗传算法和粒子群算法的基础上发展来的，适用于解决高维度的，多目标的最优化问题。-Biogeography optimization algorithm, author Dan Simon, is based on genetic algorithm and particle swarm algorithm development to apply to solve high-dimensional, multi-objective optimiza
pso
- matlab粒子群算法和遗传算法是解决约束优化问题，无约束优化问题和多目标优化问题的优化算法-PSO and GA are good optimizational algorithms
matlab只能算法30个案例分析
- 智能优化30个案例 包括遗传算法 粒子群算法 多目标优化 神经网络等
ym_C.GA_for_Knapsack_Problem_hicode
- 遗传算法用于求解多目标背包问题，学包括基本的选择、杂交、变异等遗传算子.-Genetic algorithm for solving multi-objective knapsack problem, learning the basic choice, hybridization, mutation and other genetic operators.
NSGA-II
- 多目标整数规划的遗传算法NSGA-IImatlab源代码，主程序、初始化、计算适应度、排序、选择、交叉变异、重组，最后得到Pareto前言。可以跑通，下载即用，具体方法介绍博客上文章上都有。-Multi-objective integer programming genetic algorithm NSGA-IImatlab source code, the main program, initialization, calculate fitness, sorting, selection,
genetic
- matlab中的遗传算法（简称GA）工具箱。遗传算法提供了一系列求解非线性、多模型、多目标等复杂系统优化问题的通用框架。-matlab genetic algorithm (abbreviated GA) toolbox. GA provides a series of solving nonlinear, multi-model, multi-objective optimization problems of complex systems such as a common framewor
01-NSGA-II
- 一个多目标优化遗传算法matlab源代码-a nsga2 matlab code
MultiObjectOpt
- 该程序是利用遗传算法处理实验数据，利用多目标优化的方法确定实验图像的特征参量，对于实验分析确定参数方面的工做具有参考意义。-The program is to use genetic algorithm to deal with the experimental data, by using the method of multi-objective optimization determine the experiment image feature parameters, for exper
Bi-level-programming-model
- 双层规划模型，遗传算法，多目标优化，源代码-Bi-level programming model of basic Matlab source code
yichuansuanfa
- 用于单目标优化的遗传算法，可以适当修改成多目标优化的程序-genetic algorithm
mianyiyichuan
- 该算法既保留了遗传算法的搜索特性，又利用了免疫算法的多机制求解多目标函数最优解的自适应特性，在很大程度上避免了“早熟”，收敛于局部极值。 生物体的免疫系统是一个高度进化、复杂的系统，它能自适应地识别和排除入侵肌体的抗原性异物，保护机体免受损害及维持内坏境稳定，并具有学习、记忆和自适应调节的能力。当抗原入侵时，免疫系统通过自体耐受对‘自己’和‘非己’进行识别，并产生最恰当的抗体排除抗原，通过抗体与抗体之间、抗原与抗体之间的相互刺激和抑制关系，降低抗原对免疫细胞的刺激，抑制抗体的过度分化、增殖，
NSGAv2-master
- 基于遗传算法的多目标优化程序代码，比NSGAv2是基于第一代的优化-Genetic algorithm based on the multi-objective optimization program code, than the NSGAv2 is based on the first generation of optimization
NSGA_2
- 一种多目标优化的遗传算法实现过程，核心在于应用了一种优化的排序方法-A multi-objective optimization of genetic algorithm to achieve the process, the core is the application of a sort of optimization method
multiobjectiveoptimization
- 可以运行的多目标最优化代码，用到了遗传算法，在matlab中运行。-Can run the multi-objective optimization code, using the genetic algorithm, running in matlab.
yichuan
- 基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
GA-vrp
- 运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize custo