搜索资源列表
DE
- 多目标DE算法，子程序有拥挤距离计算，非支配解排序，模型等，多学习多目标算法很有帮助-multi-objective DE algorithm
Differential Evolution Algorithm With 2D
- This algorithm can solve two dimensional ODEs.The code include explanatory line.İt is written MATLAB.
DE
- matlab开发环境下的与电力系统有关的DE算法程序-DE algorithm program and related power system development environment matlab
DE
- DE Algorithm is implement with matlab
DE-Algorithm-of-Rosen
- Matlab中采用微分进化算法计算Rosen函数的案例。-Matlab differential evolution algorithm used in the case of Rosen function.
DE
- DE Algorithm matlab (function) matlab
DE
- 使用差分进化算法对系统函数进行优化，使得系统指标最小(The differential evolution algorithm is used to optimize the system function, which makes the system index minimum)
DE
- 基于差分进化算法的优化算法。在MATLAB平台上运行，可以解决参数优化问题。是一种遗传算法。(Differential evolution algorithm)
DE
- 差分进化算法,利用这个文档对差分进化算法进行简单的学习，并且实现简单的创新与改进。(Differential evolution algorithm, using this document for differential evolution algorithm for simple learning, and to achieve a simple innovation and improvement.)
de
- Example of application of Differential Evolution Algorithm to the optimization of a function
混合CS算法的DE算法
- 混合CS(布谷鸟搜索)算法的DE(差分进化)算法(DE (differential evolution) algorithm for hybrid CS (cuckoo search) algorithm)
route planning
- 本文阐述了全局路径规划问题的无人飞行器作为约束在三维环境下的优化问题，提出了一种微分进化算法生成一个最优的可行路径。(This paper formulates the global route planning problem for the unmanned aerial vehicles (UAVs) asa constrained optimization problem in the three-dimensional environment and proposes an impro
DE
- 差分进化算法(Differential Evolution, DE)是一种基于群体差异的启发式随机搜索算法，该算法是由R.Storn和K.Price为求解Chebyshev多项式而提出的。DE算法也属于智能优化算法，与前面的启发式算法，如ABC，PSO等(DE optimization algorithm)
DE
- DE codes for features mutasyon seleksiyon
83390053PID-Tuning-using-DE
- differential evalution algorithm for tuning pid controller
QKP2
- 使用DE算法求解二次背包问题，采用了动态排序的方法(DE algorithm is used to solve the two knapsack problem. Dynamic sorting method is adopted.)
QKP1
- 基于DE算法利用静态排序算法求解二次背包问题(DE algorithm based on static sorting algorithm to solve two knapsack problem.)
QKP
- 用遗传算法DE算法求解数值优化问题，实现了一个函数(Solving numerical optimization problems with DE algorithm)
DE Algorithm
- DE算法，求最优解，能实现，能运行，是个测试版本，可以在这基础改(Genetic algorithm, the best solution, can be realized, can run, is a test version, can be modified in this basis.)
DE多目标程序
- 一个DE多目标算法，可以绘制相应的pareto前沿(A DE multi-objective algorithm can draw corresponding Pareto frontiers.)