搜索资源列表
MGAA
- 本算法是基于遗传算法的多种群算法,能够对全局的多个目标进行同时寻优,在全局中能够取得较好的全局最优值。-This is a multi-swarm algorithm based on genetic algorithm, capable of multiple targets simultaneously global optimization, in the big picture can achieve better global optimum.
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优-Function neural network genetic algorithm optimization extreme- extreme nonlinear optimization
Genetic
- 关键词:C# 遗传算法 多目标寻优 智能优化 欢迎大家交流学习-Keywords: C# genetic algorithm for multi-objective optimization of intelligent optimization welcome to share their knowledge
Ga
- 遗传神经网络算法,基于C语言的开发环境,是一种基于遗传寻优的优化算法。-Genetic neural network algorithm, based on the C language development environment is a genetic optimization algorithm based optimization.
yichuansuanfa
- 遗传算法(Genetic Algorithm,GA)是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象,进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息,它从某一随机生成的初始群体出发,经过选择、交叉和变异等遗传操作后对个体进行适应度评价,保留适应度较强的个体遗传到子代种群中,经过多次的迭代计算求得最优个体,即问题的最优解。本程序采用遗传算法可求解微网优化运行。-Genetic Algorithm is an adaptive global by natu
example1
- 关于遗传算法的寻优,可以用来进行工程的优化设计。-On genetic algorithm optimization can be used to optimize the design of the project.
tsp_pso
- : 针对粒子群优化算法易陷入局部极值的缺点, 提 出一种改进粒子群算法, 该算法借鉴贪婪算法的思想初始化种群, 利用两 个种群同时寻优, 并将遗传算法中交叉和变异操作引入其 中, 实现种群间的信息共享。-I n a l l u s i o n t o p a r t i c l e s wa r m o p t i mi z a t i o n b ei n g pr on e t o g e t i n t o l oc a l mi n i mu m, a n
gajianonliner
- 遗传算法+非线性寻优,比遗传算法更快更准确-Genetic algorithm (ga)+ nonlinear optimization, faster and more accurate than the genetic algorithm
tsp
- 蚁群算法和遗传算法相融合,将遗传算法和蚁群算法相结合,在寻优过程中发挥各自的优势,克服各自的不足。-Ant colony algorithm and genetic algorithm integration, the genetic algorithm and ant colony algorithm combined to play their respective advantages in the optimization process, to overcome their defic
Bp_Ada_Sort
- 神经网络遗传算法函数极值寻优非线性函数极值寻优-Neural network genetic algorithm optimization function extreme nonlinear function extreme optimization
duodao
- 多岛遗传算法,用于优化设计,具有全局寻优的特点-Multi-island genetic algorithm for optimizing design, with global optimization features
GAPmatlab
- 遗传算法进行动态寻优最小值,并给出函数的图形、算法的源代码、程序流程图、主要参数记录、寻优结果、迭代次数、收敛曲线及实验结果分析.-Genetic algorithms for dynamic optimization of the minimum and gives the function graph, the algorithm source code, program flow, the main parameters of the recording, the optimization
Extremaloptimization
- 神经网络遗传算法函数极值寻优————非线性函数极值寻优-Neural network genetic algorithm optimization function extreme nonlinear function extreme optimization
lingo
- 基于遗传算法的非线性规划的函数寻优算法。-Function optimization algorithm Nonlinear Programming Based on Genetic Algorithms.
QuantumMain
- 基于量子遗传算法的函数寻优算法,可以直接解压运行,主函数和子函数齐全。-Function based on quantum genetic algorithm optimization algorithms that can run directly extract the main functions and subroutines complete.
c2
- 遗传寻优算法 遗传寻优算法 遗传寻优算法-genetic opitimization genetic opitimization genetic opitimization genetic opitimization
BP_GA_optimal
- 应用遗传算法,基于BP神经网络的非线性函数极值寻优程序-Application of genetic algorithms, non-linear function BP neural network optimization procedures based on extreme
yichuansuanfashixianzuidazhixunyou
- 用遗传算法实现一个方程的最大值寻优,附源程序码,较详细的说明了其寻优过程的实现。-Genetic algorithm is used to implement an equation of the maximum optimization, with source code, illustrates in detail the realization of the optimization process
liangziyichuanQGA
- 量子遗传算法是量子进化算法和遗传算法的结合,具有较好的寻优结果和收敛速度。-Quantum Genetic Algorithm quantum evolutionary algorithm and genetic algorithm combining algorithm has better global optimal solution and speed of evolution.
Genetic-Algorithm-matlab
- 遗传算法 ( Genetic Algorithm , GA) 是借鉴生物界自然选择和群体进化机制形成的一种全局寻优算法 。与传统的优化算法相比 ,遗传算法具有如下优点 [1 ] :1 ) 不是从单个点 ,而是从多个点构成的群体开始搜索 2) 在搜索最优解过程中 ,只需要由目标函数值转换得来的适应值信息 ,而不需要导数等其它辅助信息 3) 搜索过程不易陷入局部最优点 。 数学建模中常用的matlab算法,遗传算法,内容详细,包括PDF版本的详细的算法实现过程;-Genetic Algorith