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【AI-NN-PR】 webinar_files DL : 0: This a demonstration of how to find a minimum of a non-smooth objective function using the Genetic Algorithm (GA) function in the Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based optimization methods, like those found in the Optimization Toolbox, are fast and accurate for many types of optimization problems. These methods are designed to solve smooth , i.e., continuous and differentiable, minimization problems, as they use derivatives to determine the direction of descent. While using derivatives makes these methods fast and accurate, they often are not effective when problems lack smoothness, e.g., problems with discontinuous, non-differentiable, or stochastic objective functions. When faced with solving such non-smooth problems, methods like the genetic algorithm or the more recently developed pattern search methods, both found in the Genetic Algorithm and Direct Search Toolbox, are effective alternatives. -This is a demonstration of how to find a minimum of a non-smooth objective function using the Genetic Algorithm (GA) function in the Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based optimization methods, like those found in the Optimization Toolbox, are fast and accurate for many types of optimization problems. These methods are designed to solve smooth , i.e., continuous and differentiable, minimization problems, as they use derivatives to determine the direction of descent. While using derivatives makes these methods fast and accurate, they often are not effective when problems lack smoothness, e.g., problems with discontinuous, non-differentiable, or stochastic objective functions. When faced with solving such non-smooth problems, methods like the genetic algorithm or the more recently developed pattern search methods, both found in the Genetic Algorithm and Direct Search Toolbox, are effective alternatives.
Update : 2024-05-08 Size : 18432 Publisher : gao
【matlab】 GA DL : 0: MATLAB实现改进的遗传算法，体现该算法在MATLAB上实现的效果-MATLAB to achieve improved genetic algorithm, embodied in the algorithm to achieve the effect of MATLAB
Update : 2024-05-08 Size : 4096 Publisher : xie
【matlab】 geneticalgorithm DL : 0: Genetic Algorithm.This program simulates the optimzation of a simple function with a base-10 genetic algorithm.Optimization proble mcan also be solved using this algorithm.
Update : 2024-05-08 Size : 10240 Publisher : huneza
【AI-NN-PR】 GA-bp DL : 0: 基于遗传算法的bp神经网络优化程序，经测试好用，有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value
Update : 2024-05-08 Size : 1024 Publisher : guang dong
【Mathimatics-Numerical algorithms】 Classicalalgorithm DL : 0: 数学建模比赛常用的算法,包括插值与拟合、线性规划、整数规划、动态规划、遗传算法等-Competition commonly used mathematical modeling algorithms, including interpolation and fitting, linear programming, integer programming, dynamic programming, genetic algorithm
Update : 2024-05-08 Size : 3058688 Publisher : Arthur
【AI-NN-PR】 YICHUAN DL : 0: 基于遗传算法的模糊控制器优化设计，希望对大家有用！-Based on genetic algorithm optimization of fuzzy controller design, hope for all of us!
Update : 2024-05-08 Size : 46080 Publisher : weipan
【matlab】 GSAALB DL : 1: 装配生产线任务平衡优化遗传算法通MATLAB源码，下面的源码实现了装配生产线任务平衡优化问题（ALB问题）的遗传算法，算法主要参考下面这篇文献，并对其进行了改进。-Task of assembly line balancing optimal genetic algorithm-pass MATLAB source code, the following source code to achieve the task of assembly line balancing optimization problem (ALB problem) of the genetic algorithm, this algorithm is the main reference the following documents, and its improvements.
Update : 2024-05-08 Size : 2048 Publisher : 孙准
【matlab】 GAFCM DL : 3: 遗传算法改进的模糊C-均值聚类MATLAB源码模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。 -Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard fuzzy C-means clustering algorithm to obtain the optimal classification result.
Update : 2024-05-08 Size : 1024 Publisher : 孙准
【Mathimatics-Numerical algorithms】 PSO DL : 0: matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。遗传算法解决最小生成树问题，PURFER编码。粒子群算法做无约束最优化问题。蚁群算法解决TSP问题。如果有宝贵经验希望能交流一下，谢谢，-matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He
Update : 2024-05-08 Size : 5120 Publisher : stephen
【matlab】 matlabyichuansuanfagongju DL : 0: matlab 遗传算法工具箱函数及应用实例-matlab genetic algorithm toolbox function and application examples
Update : 2024-05-08 Size : 198656 Publisher : joyce
【Windows Develop】 TSP DL : 0: This the program for the TSP problem utilizing genetic algorithm.-This is the program for the TSP problem utilizing genetic algorithm.
Update : 2024-05-08 Size : 109568 Publisher : Junseok Kwon
【Windows Develop】 GECCO1 DL : 0: This the program for the GECCO 2008 contest utilizing the genetic algorithm-This is the program for the GECCO 2008 contest utilizing the genetic algorithm
Update : 2024-05-08 Size : 206848 Publisher : Junseok Kwon
【Other】 GAFMAX DL : 0: 遗传算法求下列函数的最大值 obj(x)=x.*(10-x).*sin(2*pi*x), x\in[0,10].-Optimization problem by genetic algorithm of a function obj(x)=x.*(10-x).*sin(2*pi*x), x\in[0,10].
Update : 2024-05-08 Size : 5120 Publisher : HU
【Industry research】 GeneticAlgorithmsforMultiobjectiveOptimization.zi DL : 0: Genetic Algorithms for Multiobjective Optimization
Update : 2024-05-08 Size : 129024 Publisher : saleh
【AI-NN-PR】 genetic_arithmetic DL : 0: 遗传算法作为具有系统优化、适应和学习的高性能计算和建模方法的研究渐趋成熟。在介绍遗传算法的产生和发展历史之后，慨述厂遗传算法的理论和应用情况-Genetic algorithm as a system optimization, adaptation and learning of high-performance computing and modeling method of maturing. In introducing the genetic algorithm generation and development history, the generous state plant genetic algorithm theory and application of
Update : 2024-05-08 Size : 6070272 Publisher : 韩君
【AI-NN-PR】 genetic DL : 0: 该程序为C语言编写的遗传算法,很有参考价值.-The program for the genetic algorithms is programed by C language, which is useful.
Update : 2024-05-08 Size : 84992 Publisher : 吴学明
【Mathimatics-Numerical algorithms】 opfbyga DL : 0: optimal power flow using genetic algo-optimal power flow using genetic algo..
Update : 2024-05-08 Size : 4096 Publisher : sarada
【AI-NN-PR】 the_use_of_ga DL : 0: 给出了遗传算法的基本参数设置要求，包括交叉、变异、选择-Given the basic parameters of genetic algorithm to set demands, including the crossover, mutation, selection, etc.
Update : 2024-05-08 Size : 2048 Publisher : 赵桓
【AI-NN-PR】 sine DL : 0: 用遗传算法优化神经网络权值最后实现逼近sin函数曲线-Neural network using genetic algorithm optimization to achieve the right of the value of the final function curve approximation sin
Update : 2024-05-08 Size : 293888 Publisher : 无名
【Other】 KnapsackProblem DL : 0: 基本遗传算法带最优保存思想的背包问题，其中，目标值那段代码使用的是惩罚函数法，选择是概率选择，交叉是双点随机交叉，变异是概率变异-The basic genetic algorithm with elitist thinking knapsack problem, which is a target that part of the code using penalty function method, choice is the probability of selection, crossover is a two-point random crossover and mutation is the probability of mutation
Update : 2024-05-08 Size : 2048 Publisher : 田文杰

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