Description: matlab用标准遗传算法求f(x)=x2－22x+30函数的最小值，x [0,31]。 包含源码及结果-matlab using standard genetic algorithms f (x) = x2-22x+30 the minimization, x [0,31]. Includes source code and results Platform: |
Size: 45056 |
Author:wh |
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Description: 遗传算法车间调度,车间作业调度问题遗传算法
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输入参数列表
M 遗传进化迭代次数
N 种群规模(取偶数)
Pm 变异概率
T m×n的矩阵，存储m个工件n个工序的加工时间
P 1×n的向量，n个工序中，每一个工序所具有的机床数目
输出参数列表
Zp 最优的Makespan值
Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图
Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图
Y3p 最优方案中，各工件各工序使用的机器编号
Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵
LC1 收敛曲线1，各代最优个体适应值的记录
LC2 收敛曲线2，各代群体平均适应值的记录
最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）-Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict Platform: |
Size: 2048 |
Author:王龙隐 |
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Description: 遗传算法的运行机理及特点是具有定向制导的随机搜索技术，其定向制导的原则是：导向以高适应度模式为祖先的“家族”方向．以此结论为基础．利用随机化均匀设计的理论和方法，对遗传算法中的交叉操作进行了重新设计，给出了一个新的GA算法，称之为随机化均匀设计遗传算法．-Operating mechanism and genetic algorithm is characterized by directional guided random search techniques, the directional guidance of the principle is: the fitness-oriented model of high ancestral " family" orientation. The basis of this conclusion. By randomized uniform design theory and method, the crossover operation in genetic algorithm has been redesigned, GA gives a new algorithm, called the randomized uniform design of genetic algorithms. Platform: |
Size: 104448 |
Author:zs |
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Description: 一本遗传算法的经典书籍，对遗传算法的学习很有用，共参考-A classic genetic algorithms books, the learning of useful genetic algorithm, a total of reference Platform: |
Size: 4089856 |
Author:洛龙行 |
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Description: 介绍了利用遗传算法，优化稀布阵列的阵元的排布-Introduced the use of genetic algorithms and particle swarm optimization, optimization thinned array element array arranged Platform: |
Size: 3146752 |
Author:孙伟 |
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Description: 免疫和遗传算法，提供一些有关免疫和遗传的算法方案-Immune and genetic algorithms, provide information on immunization programs and genetic algorithms
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Size: 5232640 |
Author:李恩启 |
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Description: 介绍遗传算法的原理，流程。详细展示了交叉，变异，选择等算子。同时，还介绍了谢菲尔德大学遗传工具箱的使用 。本书对初学遗传算法者很有帮助。-Introduce the principle of genetic algorithms, processes. Detail shows crossover, mutation, selection operator. Meanwhile, the University of Sheffield also introduced the use of genetic toolbox. Genetic algorithms for beginners who book very helpful. Platform: |
Size: 9717760 |
Author:CaoJunlong |
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Description: 遗传算法主要借用生物进化中适者生存的规律-Genetic algorithms are mainly borrowed the laws of biological evolution in the survival of the fittest Platform: |
Size: 2048 |
Author:周同同 |
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Search - genetic algorithms