搜索资源列表
MOEA-D-DE
- 多目标差分进化算法,实现了多个目标共同进化的启发式进行算法-MOEA-D-DE
cde
- 这是本人自己写的关于混沌微分进化算法的源码和一篇关于混沌微分进化算法的文献,希望对初学者有一定帮助。-This is my own writing on the chaotic differential evolution algorithm source and a differential evolution algorithm on the chaos literature, hoping there will certainly be helpful for beginners.
differencemethod
- matlab的差分算法实现以及粒子群优化算法介绍-matlab differential algorithm and particle swarm optimization algorithm introduced
Optimizers
- 一系列好用的用户友好的启发式优化算法,包括非自适应算法,基于模拟退火算法的种群算法,基本遗传算法,差分进化算法以及粒子群优化算法。此外,也包括神圣算法,它利用了所有这些优化算子,虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic A
volutionalgorihm
- 微分进化算法的一套实用程序,适合学习微分进化算法的朋友研究-A set of differential evolution algorithm utility for the study of differential evolution algorithm research friend
SACPMDE
- 差分进化算法变形——参数自适应差分进化算法-Adaptive parameters for DE algorithm
OldDeMatcode
- DE差分进化优化算法的源代码,从外文网站下载-DE optimization toolbox from the web.
080502
- 基于MATLAB的蚁群算法仿真研究 :介绍了基于MATLAB的蚁群算法仿真研究。对佛罗里达州六城市旅行商问题进行了MATLAB仿真,计算结果显示,作为新型 进化算法,蚁群算法能够解决复杂组合优化问题。-Ant colony algorithm based on MATLAB Simulation: This paper introduces the ant colony algorithm based on the MATLAB simulation. Six Cities of Flo
GNN
- 基于MATLAB的差分进化算法优化神经网络的源程序-MATLAB based on the differential evolution algorithm for optimization of neural network source code
java_evolutionary_algorithms
- 用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm Evolutionary Algorithm package implemented using Java. The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorith
differentialevolution_2009-09-16
- 这是一个微分进化算法的实例。有兴趣可以-ED
pso
- 粒子群优化(Particle Swarm Optimization - PSO) 算法是一种新兴的有潜力的进化算法( Evolutionary Algorithm - EA) .PSO 算法,和遗传算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质. 但是它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作. 它通过追随当前搜索到的最优值来寻找全局最优。-pso
implementationofCoevolutionaryalgorithm
- 利用帕累托最优和协同进化算法做一个模拟,可以应用在多目标优化上。-a simulation using pareto optimization and co-evolutionay algorithm, it could be used to solve multiple objective optimization.
QEAsolvePackage
- 最近两年比较流行的量子进化算法(QEA),能够求解一般的优化问题。算例是一个典型的背包问题(离散二值问题)。-The more popular the last two years the quantum evolutionary algorithm (QEA), be able to solve the general optimization problems. An example is a typical knapsack problem (discrete binary problem
QEAsolveOptimization
- 最近两年流行的量子进化算法程序,能够优化一下基本的问题,本程序是基于一个连续的极值问题。-The last two years the popular quantum-inspired evolutionary algorithm process, to optimize the basic questions about this program is based on a continuous extremal problem.
改进P-Q分解法潮流
- 改进的微分进化算法,此算法为优化算法,可以用在电力系统的无功优化,配电网重构中。-Differential Evolution
1111
- 量子进化算法和免疫算法都是解决优化问题的强有力算法。在分析了量子进化算法搜索的特点和免疫算法的机理基础上,对它们进行比较,阐明了二者的不同特点-Quantum-inspired evolutionary algorithms and immune algorithms are a powerful algorithm to solve optimization problems. After analyzing the characteristics of the quantum evoluti
devec3
- 差分进化算法,可以用于多目标优化,可以分享的啊。-Differential evolution algorithm, can be used for multi-objective optimization, can share the ah.
GA
- 遗传进化算法实现函数优化,寻找函数最大值,matlab编程实现-Genetic evolution algorithm for function optimization, search function, max, matlab programming
ga
- 一个很好的遗传算法和进化算法的书籍,多多交流啊!-ga