搜索资源列表
DE-Clustering-Analysis
- 差分进化计算在解决这种聚类问题上表现出色，算法具有较强的通用性，不过分依赖于问题的信息；具有记忆个体最优解的能力、协同搜索的能力，以及可利用个体局部信息和群体全局信息指导算法进一步搜索的能力。-Differential evolutionary computation is excellent in solving this clustering problem. The algorithm has strong generality and can not depend on the info
dual-robot-path-planning
- 双机器人协调路径规划，局部路径使用蚁群算法，全局路径使用粒子群算法-Double coordinate path planning and local path using ant colony algorithm, the global path using the particle swarm optimization
monituihuo
- 本实验提出了一类适用于连续函数全局优化问题的模拟退火算法，采用直接产生新解的方法求解De Jone函数的局部最小值，输出最优解和最小值。-In this paper, we propose a class of simulated annealing algorithm which is suitable for the global optimization of continuous functions. We use the method of generating new solutio
Porvoltahay
- Portal images are acquired by electronic portal imaging devices (EPID) with megavoltage (MV) x-ray, but they are inherently poor in terms of contrast, due to Compton Effect. In comparison with diagnostic x-ray images, portal images usually lack s
FuzzyPSO_2010-(1)
- A Fuzzy-Particle Swarm Optimization Based Algorithm for Solving Shortest Path Problem. Abstract—In this paper, an efficient particle swarm optimization (PSO) algorithm based on fuzzy logic for solving the single source shortest path proble
CLAHE
- 有限对比适应性均衡化是一种有约束的局部直方图构造方法，而不是全局。在高亮区和暗区的增强能力要远优于常规的直方图均衡化，图像视觉效果更加清晰。-Finite contrast adaptive equalization is a constrained local histogram construction method, rather than a global. The enhancement capability of the highlighted area and dark regio
burg
- 实现极限学习的功能，实现全局最优化，避免局部最优解，收敛速度快速。-Realize the function of limit learning, realize global optimization, avoid local optimal solution, fast convergence speed.
SA
- 模拟退火算法，客服陷入局部最小缺陷，进行全局最优化求解。-Simulated annealing algorithm, customer service into a local minimum defect and solving global optimization.
matlabPSO
- 提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局 部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算， 表明该算法是求解大规模复杂多目标优化问题的一种有效手段。-A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed alg
12pso-algorithms
- 12种粒子群优化算法,包括协同,混合,局部,全局,繁殖等-12 particle swarm optimization algorithms, including coordination, mixing, local, global, breeding and so on
8
- 遥感影像剖分金字塔研究 分析了全球剖分格网与影像金字塔的优点与不足,结合两者的优势提出了剖分影像金字塔模型及建塔策略,利用全球剖分格网面片编码的唯一性和Hilbert曲线空间连续性对影像块进行索引与组织.针对基于影像块组织的特点,提出了剖分影像金字塔局部更新的方案.实验结果表明,剖分影像金字塔不仅具有传统影像金字塔在快速浏览上的优势,并且由于其编码和索引的优势,使得在局部影像提取和更新方面效率更高,有一定的使用价值. -Remote Sensing split Pyramid
cguster
- 蚁群算法的另一种实现形式,通过全局的搜索,避免陷入局部解的改进程序-Another realization forms of the ant colony algorithm, through global search, avoid falling into local solution of the improvement program
PR-GLS
- 图像配准算法，PR-GLS Non-Rigid Point Set Registration by Preserving Global and Local Structures-PR-GLS Non-Rigid Point Set Registration by Preserving Global and Local Structures
IPSO
- 结合LPSO和GPSO的优点，该MATLAB程序实现一种时变参数的改进粒子群优化（IPSO） 算法。在IPSO中，粒子在向全局最优和局部最优粒子学习的同时，还向种群中最优粒子学习，因此具有较强的全局寻优能力。-Combined with the advantages of LPSO and GPSO, the MATLAB program implements a modified particle swarm optimization (IPSO) algorithm with time-va
navigation-hydro-devel
- ros中navigation功能包，包括自主定位，全局路径规划，局部路径规划，动态避障等-the navigation package, including autonomous positioning, global path planning, local path planning, dynamic obstacle avoidance, etc.,
videosal-master
- 【2015-TIP】-Consistent video saliency using local gradient flow optimization and global refinement
cylsgx
- 粒子群算法的局部模型程序,比全局模型的效果要好,不错的-Local model application of particle swarm optimization (pso), it is better than the effect of the global model, good
dgsed
- A Corner Detector based on Global and Local Curvature Proper-A Corner Detector-based on Global and Local Curvature Proper
cmiticaq_physical
- A Corner Detector based on Global and Local Curvature Proper-A Corner Detector-based on Global and Local Curvature Proper
Glsbaland
- A Corner Detector -based on Global and Local Curvature Proper-A Corner Detector-based on Global and Local Curvature Proper