搜索资源列表
差分进化
- 编写简单基本差分进化算法求解无约束优化问题,取得 了良好的优化效果
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)
Example of DE
- 使用差分进化算法计算一个简单的求最小值的问题,方便学习和理解差分进化算法的思想(Using differential evolution algorithm to solve a simple minimum problem, it is easy to learn and understand the idea of differential evolution algorithm)
DE
- 差分进化算法matlab代码,有详细说明,可更改(differential evolution algorithm code with substantial explanation, which is changeable)
DE
- 基本的差分进化算法,可以快速地解决数学建模问题。(Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization)
Differential Evolution
- 包含了可用的差分进化算法代码,可以运行在matlab2010以上的版本(Contains the available differential evolution code)
Evolutionary Algorithms
- 差分进化算法程序 一种混合算法 可以提高求解效率和提高解的质量(Differential evolution algorithm, a hybrid algorithm, can improve the efficiency and quality of the solution)
ypea107-differential-evolution
- 代码使用差分进化算法解决了车辆路径问题,供大家学习参考(The code uses differential evolution algorithm to solve the vehicle routing problem.)
DE1
- 差分进化算法(DE)源码,可以直接运行,非常适合初学者学习(Differential evolution algorithm (DE) source code, you can run directly, ideal for beginners to learn)
华侨大学XFX函数优化平台2017版
- 该2017版软件集成了竞赛争冠系列算法(含单目标寻优、多峰函数寻优、参数估计(拟合)等)和多种差分向量型式的差分进化算法。可对数学函数进行有或无约束优化、多峰函数优化等工作。其中改进竞赛争冠算法是近期本人的研究佳作。与现行优良的进化算法相比,颇具竞争力。(The 2017 version of the software integrates the series of race champion algorithm (including
DE_TCR
- matlab脚本实现了DE_TCR算法-自适应交叉机制的混合差分进化算法,对研究进化算法具有一定帮助。(These matlab scr ipts implement a version of the DE_TCR algorithm which is a Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism.)
demb
- 差分进化算法,用于优化计算,根据自己的情况进行编辑(Differential evolution algorithm)
DE
- 实现差分进化算法程序,比较简单,希望有所帮助(Differential evolution algorithm program)
DE_FOPID
- 差分进化算法,整定分数阶PID控制器参数(Differential evolution algorithm, tune fractional PID controller parameters)
2016.11.03DE_SVR(差分进化)
- 以优化SVR算法的参数c和g为例,对DE(差分进化)算法MATLAB源码进行了详细中文注解。(Differential Evolution algorithm (DE) is a heuristic random search algorithm based on group differences. This algorithm is proposed by R.S and k.p. rice for solving Chebyshe
DeMat
- 几种问题下的多维差分进化算法,包括Chebychev、Eggholder、Michalewicz、Peaks、Rastrigin、Rosenbrock和Zimmermann问题,可以根据不同的需求来改变objfun.m, PlotIt.m,和 Rundeopt.m。(The multidimensional differential evolution algorithm under several problems.)
Differential Evolution
- 差分进化算法Differential Evolution的论文(The original paper of DE)
DE
- 差分进化算法的代码框架和实例,可以实现迭代进化,得到需要的优化解。(Code fr a mework and example of differential evolution algorithm.It can achieve iterative evolution and get the desired solution.)
DeMat
- 差分进化算法,求最优解,能实现,能运行,是个样板(Differential evolution algorithm, the best solution, can be realized, can run, is a template.)
DE-test
- 差分进化算法,求最优解,能实现,能运行,是个测试版本,可以在这基础改(Differential evolution algorithm, to achieve the optimal solution, can be realized, can run, is a test version, can be modified in this basis.)