搜索资源列表
DE
- DE 生物进化算法的matlab实现，一类优化仿生算法-DE biology evolutionary algorithm matlab implementation, a class of bionic optimization algorithm
Drude_model
- effecient EM parameters for metamaterial with Drude model
DE
- 运行平台MATLAB，基于微分进化算法的函数寻优-Operating platform of MATLAB, based on the function of the differential evolution algorithm for optimization
DE
- Differential Evolution for single variable function optimization!
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.
ACOTSP.V1.0
- 大师级人物写的蚁群算法解决TSP问题,真的挺不错,你可以下下来看看的.- Program s name: acotsp Ant Colony Optimization algorithms (AS, ACS, EAS, RAS, MMAS, BWAS) for the symmetric TSP Copyright (C) 2004 Thomas Stuetzle This program is free software yo
Optimization
- 《小波消噪阈值算法优化》详细阐述了一种自适应小波阈值消噪法。经matlab验证，改进后的算法消噪性能大大提高。-《Optimization threshold algorithm of wavelet de-noising》discribes an adaptive threshold de-noising based on wavelet. It’s proved by matlab program that the performance of adaptive algorithm is m
DE
- Differential Evolution Optimization
pso
- 对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比-Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising o
DE-Algorithm
- 微分进化算法的matlab程序。优化效果不错-Differential evolution algorithm matlab program. Optimization of good results
DE
- 差分进化算法(Differential Evolution, DE)是一种新兴的进化计算技术。它是由Storn等人于1995年提出的，最初的设想是用于解决切比雪夫多项式问题,后来发现DE也是解决复杂优化问题的有效技术。本人实现了简单的DE-DE is used for multidimensional real-valued functions but does not use the gradient of the problem being optimized, which means DE
Particle_Swarm_Optimization_and_Differential
- This chapter provides two recent algorithms for evolutionary optimization – well known as particle swarm optimization (PSO) and differential evolution (DE).
DE
- 微分进化算法，用于参数优化、寻找极值等，可自行加入其他约束条件和修改目标函数-Differential evolution algorithm for parameter optimization, search extreme, can free to add other constraints and modify the objective function
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.
de
- 基于matlab平台编写的微分进化算法，可用于电力系统问题优化-Based on matlab platform written in differential evolution algorithm can be used for optimization of power system problems
de-LDPC
- 该算法时LDPC码优化的好帮手。通过差分进化（DE）实现LDPC码度分布优化。给定码率，自动搜索最佳度分布。算法运算量较小，可以得到次优解。-The algorithm of LDPC code optimization is a good helper. Through differential evolution ( DE ) to realize LDPC code degree distribution optimization. Given rate, automatic search
DE
- 编写改进的差分进化算法，并对神经网络进行优化-improved differential evolution algorithm to optimization the neural network
de
- Example of application of Differential Evolution Algorithm to the optimization of a function
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 example
- Example on DE optimization technique