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A New Unsupervised Change Detection Approach Based On DWT Image Fusion And Backtracking Search Optimization Algorithm For Optical Remote Sensing Data
Change Detection DWT Based Image Fusion Backtracking Search Optimization Algorithm (BSA)
2014/9/29
Change detection is one of the most important subjects of remote sensing discipline. In this paper, a new unsupervised change detection approach is proposed for multi-temporal remotely sensed optic im...
Corrective action planning considering FACTS allocation and optimal load shedding using bacterial foraging oriented by particle swarm optimization algorithm
FACTS devices reactive power planning load shedding BF algorithm PSO algorithm
2010/10/12
Reactive power planning (RPP) involves optimal allocation and determination of the type and size of new reactive power (VAR) supplies to satisfy voltage constraints during normal and contingency state...
A Simple and Global Optimization Algorithm for Engineering Problems: Differential Evolution Algorithm
Optimization Genetic Algorithm Differential Evolution
2009/7/28
Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages; finding the true global minimum regardless of the initial parameter values, fast convergence, and usin...
基于动态聚集距离的多目标粒子群优化算法及其应用（Multi-objective Particle Swarm Optimization Algorithm Based on Dynamic Crowding Distance and Its Application）
粒子群算法 多目标优化 改进的快速排序法 动态聚集距离 Pareto集
2010/4/1
为了增加Pareto集的多样性，提高多目标优化的全局寻优能力，提出了一种基于动态聚集距离的多目标粒子群算法(DCD-MOPSO)。该算法利用改进的快速排序方法来减少计算量，采用动态变化的惯性权重和加速因子以增强算法的全局寻优能力，并基于动态聚集距离对外部集进行维护以增加Pareto集的多样性。通过典型测试函数的仿真实验和应用实例对DCD-MOPSO算法性能进行了分析，并与多目标优化算法MOPSO和...
基于蚁群算法的稻种轮廓自适应提取方法（Self-adaptive Method for Extracting Rice Seed’s Contour Based on Ant Colony Optimization Algorithm）
稻种 图像处理 轮廓提取 蚁群算法
2010/2/26
针对传统轮廓提取方法自适应能力不强的问题，提出一种基于蚁群算法的稻种轮廓提取方法。将数字图像看作一个二维网格，以稻种轮廓为蚂蚁要寻找的食物，以梯度与方向作为启发信息，蚂蚁在启发信息与信息素强度的共同引导下搜索真实轮廓。为了加快算法的收敛速度，增强蚁群的搜索能力，定义了合理的启发信息与信息素更新机制，并研究了算法中初始参数之间的关系与规律。最后，用两种光照条件下采集的图像测试该算法。实验结果表明，该...
CLUSTERING OF LIDAR DATA USING PARTICLE SWARM OPTIMIZATION ALGORITHM IN URBAN AREA
Clustering LIDAR Particle swarm optimization Urban Area Object Extraction
2016/2/29
One of the fundamental steps in the transformation of the LIDAR data into the meaningful objects in urban area involves their
segmentation into consistent units through a clustering process. Neverth...
IFDR: An Efficient Iterative Optimization Algorithm for Standard Cell Placement
Iterative Optimization Algorithm Standard Cell Circuit CAD
2010/12/7
In the automatic placement of integrated circuits, the force directed relaxation (FDR) method [Goto, S. (1981). An efficient algorithm for the two-dimensional placement problem in electrical circuit l...