搜索资源列表
segm_energy_LS
- 此工具箱实现了一个基于能量的有限差分的水平集演化分割算法-This toolbox implements an energy-based segmentation algorithm that uses finite-difference based level set evolution
RED-BLACK-tree-and-2-3-4tree
- 红黑树的发明者关于红黑树的演化过程的介绍，是最好的理解红黑树的资料。-The inventor of the red-black tree on the evolution of the red-black tree, the best understanding of the red-black tree data.
pro-php-refactoring
- Welcome to our book on PHP Refactoring. Before starting to talk about refactoring techniques appl ied to the PHP world, we want to introduce you the reasons behind this book. We think that PHP language has become an enterprise-class language ove
lvbochaosheng
- 对李纯明的DRLSE进行了改进 利用各向异性扩散提高了分割弱边缘的能力 改进的高斯滤波代替惩罚项 加快了演化速度 节省了时间-The DRLSE to LiChunMing improved using anisotropic diffusion improve the segmentation of improvement of the ability weak edge gaussian filtering instead of penalty term accelerated evolut
Tggenetich
- 此文档是遗传算法原理加源代码。生物的进化是一个奇妙的优化过程，它通过选择淘汰，突然变异，基因遗传等规规律产生适应环境变化的优良物种。遗传算法是根据生物进化思想而启发得出的一种全局优化算法。 已通过测试。 -This document is the Genetic Algorithm and source code. Biological evolution is a fantastic optimization process, it is eliminated, by selecting
FDGPSOo
- 用于求解约束优化问题的算法，算法为差分进化/遗传算法/微粒群算法的融合。-Algorithm for solving constrained optimization problems, algorithms, differential evolution/genetic algorithm/particle swarm algorithm fusion.
123
- C. Li, C. Xu, C. Gui, M. D. Fox, "Distance Regularized Level Set Evolution and Its Application to Image Segmentation", IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254, 2010. - C. Li, C. Xu, C. Gui, M. D. Fox, "Distance Regularized L
evolutionary-genetic-Matlab
- 多方式进化遗传算法Matlab源代码。 对于单种群进化，多方式进化 是提高全局搜索能力 和 收敛速度的一种有效策略。 -Multi-way evolutionary genetic algorithm Matlab source code. For single-population evolution, multi-way evolution is an effective strategy to improve global search ability and convergenc
IDE-pso
- 改进的差分进化算法优化粒子群优化算法的混合智能优化算法的源程序-Improved differential evolution algorithm to optimize the hybrid particle swarm optimization intelligent optimization algorithm source code! ! ! !
TRosenbrockh
- 利用差分进化算法（Differential Evollution）实现对经典函数rosenblock的验证 -Differential evolution algorithm (Differential Evollution) validation of the classical function rosenblock
TGriewangkh
- 利用差分进化算法（Differential Evoolution）实现对经典函数girewangk的验证 -Differential evolution algorithm (Differential Evoolution) validation of the classical function girewangk
TSphereh
- 利用差分进化算法（Differential Evolutioon）实现对经典函数sphere的验证，已通过测试。 -The differential evolution algorithm (Differential Evolutioon) verification of the classic function of the sphere, and has been tested.
GImpprovedSVVe
- 将遗传算法(GA)与传统SVM算法结合，构造出一种参数最优的进化SVM(GA2SVM)，SVM 模型使用径向基函数(RBF))作为核函数，运用格雷码编码方式对SVM算法的模型参数进行遗传编码与优化搜索，，将搜索到的优化结果作为SVM 的最终模型参数。 -Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optim
aircraft_optimization
- 微分进化算法和信赖域法等在飞行器设计中的应用-Differential evolution algorithm and the trust region method in the aircraft design
ABC
- Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithm
Simple-Clustering
- ICA Clustering In computer science, Imperialist Competitive Algorithm (ICA)[1] is a computational method that is used to solve optimization problems of different types. Like most of the methods in the area of evolutionary computation, ICA does n
fast_cpda
- 一种快速的基于在弦到点距离累技术的角点检测- A Fast Corner Detector Based on the Chord-to-Point Distance Accumulation Technique 1. Find the edge image using the Canny edge detector. 2. Extract edges (curves) from the edge image: 2a. fill gaps if they are
Genetic-algorithm
- 针对传统遗传算法的早熟收敛问题,在著名的“基因块”假设的基础上,提出了一种改进算法：利用设计的新算子对传统遗传算法演化过程中被淘汰的个体进行二次演化，使得可能包含在将来的演化中对结果的全局最优性产生重要影响的基因块得以保留,以此来避免遗传算法早熟收敛现象。实验结果证明了该改进算法可以有效地避免早熟收敛，提高了算法全局优化能力。-Premature convergence of traditional genetic algorithm, based on the assumptions of t
yichuan
- 通过自然选择、遗传、变异等作用机制，实现各个个体的适应性的提高。这一点体现了自然界中"物竞天择、适者生存"进化过程。1962年Holland教授首次提出了GA算法的思想，从而吸引了大批的研究者，迅速推广到优化、搜索、机器学习等方面，并奠定了坚实的理论基础。-Individuals through the mechanism of natural selection, genetic mutation, adaptation to improve. This is evidenced by the
segmentation
- 利用水平集的方法，参考国外的论文，对图像进行预处理后再经过曲线演化获得轮廓-Level set method, refer to the foreign papers, image pre-processing and then obtained through curve evolution contour