搜索资源列表
jieguo
- 车间调度工序的实现在MATLAB程序中基于遗传算法- The realization of job shop scheduling in MATLAB program
Using-genetic-algorithm
- 用遗传算法解决车辆优化调度问题 jsp.计算机毕业程序，万套成品加定做。Q1533974260-Using genetic algorithm to solve the vehicle optimal scheduling problem
GA
- 本文基于遗传算法的飞行调度功能。较好的实现了“智能”飞行。-the algorithm of GA in the area of flying allocation
NSGA
- 在open shop情形下，采用遗传算法生成最优调度方案，所得Pareto解释最优的。-In the case of open shop using genetic algorithm to generate the optimal scheduling scheme, the resulting interpretation Pareto optimal.
GA-of-reentrant-hybrid-flow-shop
- 可重入混合流水车间的调度问题，遗传算法MATLAB源程序-Reentrant hybrid flow shop scheduling problem, the genetic algorithm MATLAB
GA-for-epginomics-workflow
- 基于遗传算法的epginomics科学工作流调度优化算法.-a GA based for epginomics workflow scheduling optimization
Shopschedulingandgeneticalgorithm
- 车间调度及其遗传算法 一本很好的车间调度入门书籍-Shop scheduling and its genetic algorithm
GAexample
- 该例应用于优化调度，可帮助新手们实现对遗传算法快速入门-This case should be used to optimize the scheduling,also can help beginners to achieve a quick start genetic algorithm
chejiandiaodu
- 这是基于多层编码遗传算法的车间调度算法,运行环境为2014a-This is a multi-level coding shop scheduling algorithm based on genetic algorithms, operating environment 2014a
GA
- 基于多层编码遗传算法的车间调度算法，多层编码遗传算法扩展了遗传算法的适用领域，使得遗传算法可以方便用于复杂问题的求解。-Shop scheduling algorithm based on multilayer coding genetic algorithm, multi-level coding genetic algorithm (ga) expanded the field of application of genetic algorithm makes the genetic alg
JSPGA
- 采用遗传算法解决车间调度问题，算法采用matlab实现。-Shop scheduling using genetic algorithms to solve the problem, algorithm matlab implementation.
chapter11
- matlab遗传算法实现车间调度，能跑出结果图，新手用的，大神别喷-Application of genetic algorithm in MATLAB to workshop scheduling
NestedParticle Swarm Optimization
- 遗传-套粒子群算法用于解决经济调度问题。(Genetic set particle swarm optimization algorithm is used to solve the problem of economic dispatch.)
521668759564348ELDGA
- 电力系统典型经济调度问题，采用遗传算法进行求解，具有很好的研究价值。(The typical economic dispatch problem of power system is solved by genetic algorithm, which has good research value.)
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，如人工神经网络、混沌、遗传算法、进化。(Optimization te
4132162
- 车间调度问题的基于工序的编码源程序,适合用遗传算法研究车间调度问题的人,()
949916
- 计算多产品间歇过程调度uis操作的,遗传算法程序()
lioprelztiongenerate
- 车间作业调度问题用遗传算法解决的通用Matlab程序()
DO-GAPSO
- 学术实验，云环境下的任务调度算法，基于遗传算法与粒子群算法相结合的调度算法(Task Scheduling Algorithm Based on DO-GAPSO Under Cloud Environment,Academic experiment,it is used to verify the effect of the experiment.)
chapter11
- 作为遗传算法解决车间调度问题（单目标柔性）的入门Matlab程序，来源：Maltab智能算法30个案例分析第11章：基于多层编码遗传算法的车间调度算法。(As the genetic algorithm to solve the shop scheduling problem (single objective flexible) introduction to Matlab procedures, source: Maltab intelligent algorithm analysis ch