搜索资源列表
GuoA
- 郭涛算法(GuoA)是基于子空间搜索(多父体重组)和群体爬山法相结合的演化算法。它通过利用少数个体所张成的子空间随机生成新的个体,体现了随机搜索的非凸性。此外,由于GuoA算法采用了单个体劣汰策略,算法在每次演化 迭代中,只把群体中适应性能最差的个体淘汰出局,淘汰压力 较小,既保证了群体的多样性,又可使具有较好适应性的个体能够一直保留。实践证明, GuoA算法具有较好的坚韧性,对于不同的优化问题无须修改算法的参数,而且效率很高,可能同时找到多个最优解。-Guo Tao algorithm
TSP
- 模拟退火算法来源于固体退火原理,将固体加温至充分高,再让其徐徐冷却,加温时,固体内部粒子随温升变为无序状,内能增大,而徐徐冷却时粒子渐趋有序,在每个温度都达到平衡态,最后在常温时达到基态,内能减为最小。根据Metropolis准则,粒子在温度T时趋于平衡的概率为e-ΔE/(kT),其中E为温度T时的内能,ΔE为其改变量,k为Boltzmann常数。用固体退火模拟组合优化问题,将内能E模拟为目标函数值f,温度T演化成控制参数t,即得到解组合优化问题的模拟退火算法:由初始解i和控制参数初值t开始,
peg-unige.tar
- LDPC的密度演化算法,C++写的,执行速度很快。-LDPC density evolution algorithm, C++ written in the implementation of the fast.
GaHyp
- 超平面分割算法的c语言实现,没做界面,功能较全,通过演化算法进行优化-Hyperplane segmentation algorithm c-language implementation, not done interface and capabilities of a whole, through the evolutionary algorithm to optimize the
munituihuo
- 模拟退火算法解决TSP问题,用固体退火模拟组合优化问题,将内能E模拟为目标函数值f,温度T演化成控制参数t,即得到解组合优化问题的模拟退火算法:由初始解i和控制参数初值t开始,对当前解重复“产生新解→计算目标函数差→接受或舍弃”的迭代,并逐步衰减t值,算法终止时的当前解即为所得近似最优解-Simulated annealing algorithm to solve the TSP problem, combined with solid-annealing simulation optimiza
SocialEvolutionaryProgramming
- 社会演化算法是一种新型的进化算法。这是基于社会演化算法的PID控制器参数整定的程序。学习遗传算法和进化算法的都有借鉴作用- Social Evolutionary Programming (SEP) to solve this problem. SEP is developed from Genetic Algorithm (GA), inherits the advantage of GA and other algorithms, and has better convergence rat
weifenyanhuasuanfa
- 微分演化算法,Visual C++环境开发,有兴趣的朋友可以拿去参考。-Differential evolution algorithm, Visual C++ environment for the development, are interested in a friend is unspeakable for reference.
AG
- 通过通用演化算法模型寻找搜索优化问题的最优解。采用二进制编码方案,繁殖池选择策略。-Through the common evolutionary algorithm model search to find the optimal solution of optimization problems. Binary coding scheme, breeding pool selection strategy.
aa
- 演化算法的使用分析,从效率上,从收敛速度上都做了仔细的分析-The use of evolutionary algorithms analysis of efficiency, from the convergence rate has done a careful analysis of
25811211GA
- 演化算法GA的c++实现,以解决某一函数最优解为例-Evolutionary algorithm GA-c++ implementation to solve the optimal solution as an example of a function
DMOEADD_code2009
- 动力学演化算法解决多目标优化问题,采用了与模拟退火算法相结合的准则,理论基础来源于统计力学中的自由能极小化定律。 -Evolutionary Algorithms for Solving Multi-Objective Problems
yanhuasuanfa
- 演化算法 一般的经典的算法 参考文件是人工智能的算法,然后自己写的-yan hua suan fa yi ban de jing dian suan fa
mnth
- 模拟退火算法来源于固体退火原理,将固体加温至充分高,再让其徐徐冷却,加温时,固体内部粒子随温升变为无序状,内能增大,而徐徐冷却时粒子渐趋有序,在每个温度都达到平衡态,最后在常温时达到基态,内能减为最小。根据Metropolis准则,粒子在温度T时趋于平衡的概率为e-ΔE/(kT),其中E为温度T时的内能,ΔE为其改变量,k为Boltzmann常数。用固体退火模拟组合优化问题,将内能E模拟为目标函数值f,温度T演化成控制参数t,即得到解组合优化问题的模拟退火算法:由初始解i和控制参数初值t开始,对
The_Construction_of_Multi-Objective_Differential_E
- 武汉理工大学硕士论文,多目标差分演化算法的构造及其应用,需要CAJViewer打开,值得参考.-Master s thesis of WUHAN UNIVERSITY OF TECHNOLOGY,The Construction of Multi-Objective Differential Evolution Algorithms and its Application, which can be opened by CAJViewer and is available.
[Perl]inver-over-operator
- 郭涛算法,目前解决TSP最高效的演化算法之一。用Perl语言实现了inver-over算子的设计。-Inver over operator for Tsp. Guo Tao Algorithm for TSP. A fastest evolutionary algorithm for solving TSP.
A3_SPEA2
- SPEA演化算法,可以用于计算多目标带约束优化问题-SPEA
exp1
- 利用多父体杂交演化算法,精英多父体杂交算法求解函数极值-Multi-parent crossover using evolutionary algorithms, multi-parent crossover elite function extremum algorithm
DE-the-State-of-the-Art
- 总体描述了差分演化算法目前的最新进展及其最新的应用-A general descr iption of the differential evolution algorithm and present the latest progress of the latest applications
DE
- 微分演化算法,可以用于结构系统识别。它是一种启发式算法,对于解决复杂的优化问题有很好的效果。-Differential evolution algorithm, can be used for structural system identification. It is a heuristic algorithm for solving complex optimization problems with good results.
sdfasdf
- 演化算法,用演化算法解决VRP问题源代码,又新建的头文件-Evolutionary algorithm, evolutionary algorithm to solve VRP problem with the source code, header files and the new