Search - Optimization of process by genetic algorithm

Search - Optimization of process by genetic algorithm - List

[matlab] gademo12 DL : 0: 遗传算法包括基本算法的程序及其在优化函数方面的应用-genetic algorithms include basic algorithm for the optimization process and its function in the application
Date : 2025-12-28 Size : 10kb User : 朱易
[matlab] matlabmprogram DL : 0: 简单函数优化的遗传算法程序简单函数优化的遗传算法程序-Simple function of the genetic algorithm optimization process simple function of the genetic algorithm optimization process simple function of the genetic algorithm optimization procedure
Date : 2025-12-28 Size : 4kb User : jianhuajuly
[matlab] Genetic_Algorithm DL : 0: A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-28 Size : 1kb User : soroosh
[matlab] GA DL : 0: 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) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-28 Size : 10kb User : xuxianfeng
[matlab] IGArarn DL : 0: 介绍了遗传算法的基本原理与求解流程，详细阐述了Matlab 遗传算法工具箱的使用方法，并通过使用遗遗传算法工具箱对一个典型的函数优化问题进行求解，验证了该工具箱在解决函数优化问题上的有效性与实用性性。 -Introduces the basic principles of genetic algorithms and solving process, elaborated on the use of the Matlab genetic algorithm toolbox, and a typical function optimization problem is solved by using genetic genetic algorithm toolbox, verify the toolbox to solve function optimization on the question of the validity and practicality.
Date : 2025-12-28 Size : 51kb User :
[matlab] genetic-algorithm DL : 0: In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.
Date : 2025-12-28 Size : 3kb User : Hutama Bramantyo
[matlab] GP-optimization DL : 0: 整个算法分成三部分，第一个部分是神经网络整体结构的确定，然后是遗传算法对参数的优化，然后便是利用已经优化好的参数，利用神经网络进行预测。我们根据需要优化的权值以及阈值的数量确定算法个体的长度。个体通过适应度函数计算他们的适应度，根据适应度的大小，我们使用轮盘算法，确定他们的遗传，交叉还有变异等过程，优化以后的BP神经网络可以更好地收敛。-The whole algorithm is divided into three parts, the first part is to determine the overall structure of the neural networks, genetic algorithms and optimization of parameters, then that is a good use of the parameters have been optimized using neural networks to predict. We determine the length of the algorithm needs to be optimized according to the number of individual weights and thresholds. Individual fitness function is calculated by their fitness, according to the size of fitness, we use roulette algorithm to determine their genetic, crossover and mutation process as well as to optimize future BP neural network can better convergence.
Date : 2025-12-28 Size : 51kb User : 周江鸿
[matlab] Genetic-Algorithm DL : 0: 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。遗传算法可以解决多种优化问题，如：TSP问题、生产调度问题、轨道优化问题等，在现代优化算法中占据了重要的地位，本例使用遗传算法求解最优解。-Genetic Algorithm (Genetic Algorithm) is a simulation of Darwinian natural selection and genetic mechanism of biological evolution of computational models of biological evolution, the process is a method of searching the optimal solution by simulating natural evolution. Genetic algorithms can solve a variety of optimization problems, such as: TSP problem, production scheduling, track optimization problems in modern optimization algorithms to occupy an important position, in this case the use of genetic algorithm for optimal solutions.
Date : 2025-12-28 Size : 8kb User : jiangsiqi
[matlab] 车间 DL : 0: 车间布局优化是将加工设备、物料输送设备、工作单元和通道走廊等布置物体合理地放置在一个有限的生产车间内的过程。车间布局优化模型是一个含有较为复杂约束的非线性连续优化模型，可以使用遗传算法进行优化。(Workshop layout optimization is the process of processing equipment, material conveying equipment, work unit and corridor and so on, and arranging the objects in a limited production workshop. The job shop layout optimization model is a nonlinear continuous optimization model with more complex constraints, which can be optimized by genetic algorithm.)
Date : 2025-12-28 Size : 1kb User : 高岭之花