搜索结果: 1-15 共查到“工学 Particle Swarm”相关记录17条 . 查询时间(0.106 秒)
PARTICLE SWARM OPTIMIZATION BASED APPROACH TO ESTIMATE EPIPOLAR GEOMETRY FOR REMOTELY SENSED STEREO IMAGES
Fundamental Matrix Particle Swarm Optimization Epipolar Geometry Remote Sensing Random Sample Consensus Stereo Vision
2019/2/27
A novel particle swarm optimization based approach for the estimation of epipolar geometry for remotely sensed images is proposed and implemented in this work. In stereo vision, epipolar geometry is d...
Design of Non-Uniform Linear Array via Linear Programming and Particle Swarm Optimization and Studies on Phased Array Calibration
linear array linear programming particle swarm optimization side lobe level phased array calibration
2014/12/8
For a linear array, the excitation coefficients of each element and its geometry play an important role, because they will determine the radiation pattern of the given array. Side Lobe Level (SLL) is ...
Particle Swarm Image Matching on Epipolar Line
Particle Swarm Optimization Image Matching Epipolar Line Dense Point Cloud Searching Ability Swarm Intelligence
2014/7/23
This paper presents a method for determining the 3D position of an image point on a reference image using particle swarm optimization (PSO) to search the height (Z value) that gives the biggest Normal...
OBTAINING APPROXIMATE VALUES OF EXTERIOR ORIENTATION ELEMENTS OF MULTI-INTERSECTION IMAGES USING PARTICLE SWARM OPTIMIZATION
Pose estimation Approximate value Exterior orientation elements Particle swarm optimization Small control frame
2014/4/28
In this paper, an efficient global optimization algorithm in the field of artificial intelligence, named Particle Swarm Optimization (PSO), is introduced into close range photogrammetric data processi...
COMPARISON OF PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM IN RATIONAL FUNCTION MODEL OPTIMIZATION
Rational Function Model (RFM) Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Mathematical Modelling High Resolution Satellite Images (HRSIs)
2014/4/25
Rational Function Models (RFM) are one of the most considerable approaches for spatial information extraction from satellite images especially where there is no access to the sensor parameters. As the...
An approach based on particle swarm computation to study the nanoscale DG MOSFET-based circuits
Particle Swarm DG MOSFET Optimization nanoscale compact model
2010/11/22
The analytical modeling of nanoscale Double-Gate MOSFETs (DG) requires generally several necessary simplifying assumptions to lead to compact expressions of current-voltage characteristics for nanosca...
Asynchronous particle swarm optimization-based search with a multi-robot system: simulation and implementation on a real robotic system
Asynchronous particle optimization-based search a multi-robot system a real robotic system
2010/10/12
In this article we consider a version of the Particle Swarm Optimization (PSO) algorithm which is appropriate for search tasks of multi-agent systems consisting of small robots with limited sensing ca...
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 particle swarm approach to solve environmental/economic dispatch problem
Meta-heuristic Particle swarm optimization Economic dispatch Emission controlled Unit commitment Multi-objective optimization
2010/9/14
This paper proposes a particle swarm optimization (PSO) algorithm to solve various types of economic dispatch (ED) problems in power systems such as, environmental/economic dispatch (EED) and multi-ar...
An application of swarm intelligence binary particle swarm optimization (BPSO) algorithm to multi-focus image fusion
multi-focus image fusion binary particle swarm optimization perfect reconstruction swarm intelligence image definition evaluation
2011/5/9
In this paper, an optimal and intelligent multi-focus image fusion algorithm is presented, expected
to achieve perfect reconstruction or optimal fusion of multi-focus images with high speed.
A syner...
A particle swarm approach to solve vehicle routing problem with uncertain demand: A drug distribution case study
Meta-heuristic PSO VRP Taguchi method Robust Optimization
2010/9/14
During the past few years, there have tremendous efforts on improving the cost of logistics using varieties of Vehicle Routing Problem (VRP) models. In fact, the recent rise on fuel prices has motivat...
基于PSO与K-均值算法的农业超绿图像分割方法(Agriculture Extra-green Image Segmentation Based on Particle Swarm Optimization and K-means Clustering)
图像分割 微粒群算法 K均值算法
2009/9/11
为了解决K-均值算法对农业图像中常用的超绿特征2G—R—B图像分割效果不佳的缺点,提出一种基于微粒群与K均值算法的图像分割方法。先用K均值算法对图像进行快速分类,然后将分类结果作为其中一个微粒的结果,利用微粒群算法计算,最后用K-均值算法在新的分类基础上计算新的聚类中心,更新当前的位置,以得到最优的图像分割阈值。试验结果表明,改进算法对超绿特征2G—R—B图像能够准确分割目标,且对不同类型的农业超...
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...
land-use spatial optimization model based on particle swarm optimization
Particle Swarm Optimization – PSO Land-Use Spatial Allocation Spatial Modeling GIS
2016/4/11
The optimization of land-use structure is the core of optimizing the allocation of land resources, including the optimization of quantity and space. However, traditional methods such as multi-objectiv...
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...