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Meta-Heuristics Based Arf Optimization for Image Retrieval

Darsana B
2012 International Journal of Computer Science Engineering and Information Technology  
The feedback drives a feature re-weighting process and is routed to the particle swarm optimizer.  ...  Instead of classical swarm update approach, the swarm is split, for each swarm to perform the search in parallel, thereby increasing the performance of the system.  ...  Particle Swarm Optimizer The feedback drives a feature re-weighting process [5] and is routed to the particle swarm optimizer.  ... 
doi:10.5121/ijcseit.2012.2215 fatcat:3pphre2l2fbongupl4vzkp3m54

Multidimensional particle swarm optimization and applications in data clustering and image retrieval

Moncef Gabbouj
2010 2010 2nd International Conference on Image Processing Theory, Tools and Applications  
Extended Abstract-Particle swarm optimization (PSO) was introduced by Kennedy and Eberhart in 1995 [1] as a population based stochastic search and optimization process.  ...  Instead of being guided by the best particle in the swarm (the member of the swarm that achieves the best value of the objective so far) a new particle is created whose j'th component is the best corresponding  ...  the search space dimension, swarm size, and complexity of the problem.  ... 
doi:10.1109/ipta.2010.5586831 fatcat:euade5p6lfbyxlkg4eddswmo5m

Sonification of population behavior in particle swarm optimization

Tiago F. Tavares, Alan Godoy
2013 Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion  
We developed a method for sonically displaying characteristics of population dynamics in particle swarm optimization processes as soundscape parameters.  ...  High-dimensional optimization problems may be addressed using populational meta-heuristics, whose statistical properties may indicate important characteristics of the optimization process.  ...  PARTICLE SWARM OPTIMIZATION The Particle Swarm Optimization (PSO) [5] is a populational meta-heuristic for optimization of real-valued search spaces problems.  ... 
doi:10.1145/2464576.2464603 dblp:conf/gecco/TavaresG13 fatcat:tzl7i6hufbampcrhgbgel5m6ke

Virtual Reality Image Technology Assists Training Optimization of Motion Micro-Time Scale

Hongjun Cao, Xiuhai Shang, Hongmei Qi
2020 IEEE Access  
The process of searching for the optimal solution is actually a non-linear and very complicated process.  ...  The multi-objective particle swarm optimization algorithm can be described as: suppose that in an ndimensional target search space, m particles form a population, and the position of each particle represents  ... 
doi:10.1109/access.2020.3007389 fatcat:mudidtz37jgtpoil6ucrdi7eue

A modified particle swarm optimization via particle visual modeling analysis

Yuxin Zhao, Wei Zu, Haitao Zeng
2009 Computers and Mathematics with Applications  
A particle is treated as a whole individual in all researches on particle swarm optimization (PSO) currently, these are not concerned with the information of every particle's dimensional vector.  ...  Based on the analysis of visual modeling, the reason for premature convergence and diversity loss in PSO is explained, and a new modified algorithm is proposed to ensure the rational flight of every particle's  ...  Acknowledgments The authors would like to thank Mrs. Li Ning and Mr. Yu Lean for their help.  ... 
doi:10.1016/j.camwa.2008.10.007 fatcat:2xpp5ey2abdn7h5x7ql4z5o4ue

Distributed Retrieval of Images using Particle Swarm Optimization and Hadoop

Darsana B, G. Jagajothi
2013 International Journal of Computer Applications  
Automatic relevance feedback is implemented using Latent Semantic Analysis, and Particle swarm optimization provides meta-heuristic based development.  ...  Content based Image Retrieval (CBIR) is the problem of searching for digital images in large databases. It is the vital application of computer vision techniques to the image retrieval problem.  ...  The feedback drives a feature re-weighting process and is routed to the particle swarm optimizer. The first iteration of the feature re-weighting process considers equal weight for all the features.  ... 
doi:10.5120/12375-8719 fatcat:72q6zft2czd3fedxsrovkpsmne

Quality analysis of food products through computer aided visual inspection: A review

George Mathew, Jaina George, J. Jaya, S. Janardhana, K. J. Sabareesaan
2013 2013 International Conference on Current Trends in Engineering and Technology (ICCTET)  
In this paper, Segmentation is done using Particle Swarm Optimization (PSO). The defects in the images are segmented and highlighted and the areas of defects are spotted out.  ...  The Particle Swarm segmentation has produced high Sensitivity, high Specificity, high Accuracy and produced effective results and hence this tool shall be useful for food processing industries for the  ...  INTRODUCTION The PSO (Particle Swarm Optimization) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.  ... 
doi:10.1109/icctet.2013.6675921 fatcat:hb5ip4tvmjfixlyvh7clxsee2y

Viewpoint Selection Using Hybrid Simplex Search and Particle Swarm Optimization for Volume Rendering

You-sai Zhang, Chang-jiang Dai, Bin Wang, Zhi-yu Zhu
2012 International Journal of Image Graphics and Signal Processing  
In this paper we proposed a novel method of viewpoint selection using the hybrid Nelder-Mead (NM) simplex search and particle swarm optimization (PSO) to improve the efficiency and the intelligent level  ...  During the process of volume rendering, the hybrid NM-PSO algorithm intended to locate the globally optimal viewpoint or a set of the optimized viewpoints automatically and intelligently.  ...  ACKNOWLEDGMENT This paper is supported by the National Science Fund Program of China (No. 61075028).  ... 
doi:10.5815/ijigsp.2012.09.03 fatcat:xgdyl4b4kjerrc3tij2x3l5nwy

Generative Art with Swarm Landscapes

Diogo de Andrade, Nuno Fachada, Carlos M. Fernandes, Agostinho C. Rosa
2020 Entropy  
A method for displaying the particle swarm exploring the search space in aesthetically pleasing ways is described.  ...  We present a generative swarm art project that creates 3D animations by running a Particle Swarm Optimization algorithm over synthetic landscapes produced by an objective function.  ...  Abbreviations The following abbreviations are used in this manuscript: PSO Particle Swarm Optimization PCG Procedural Content Generation Entropy 2020, 22, 1284  ... 
doi:10.3390/e22111284 pmid:33287052 fatcat:jca4u2nnvnctrpewhmlmaxc6hq

Estimation of System Models by Swarm Intelligent Method

Xiaoping XU, Qiuqiu ZHU, Feng WANG, Fucai QIAN, Fang DAI
2014 Sensors & Transducers  
Then, the estimates of the nonlinear system model parameters are gotten by using a modified fish swarm algorithm.  ...  In this paper, the parameter estimation problems of the nonlinear system models are converted into a nonlinear function optimization problem over parameter space initially.  ...  As a result, artificial fish are able to swim like a particle in the particle swarm optimization, subject to the visual factor, but not the step.  ... 
doaj:3befe4b46ffb402ead1d7c568ad9f644 fatcat:shpevdtnxreqnhj7abggdr3nim

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

Jun Tang, Gang Liu, Qingtao Pan
2021 IEEE/CAA Journal of Automatica Sinica  
In the past decades, numerous swarm intelligence algorithms have been developed, including ant colony optimization (ACO), particle swarm optimization (PSO), artificial fish swarm (AFS), bacterial foraging  ...  It provides an overview of the various swarm intelligence algorithms and their advanced developments, and briefly provides the description of their successful applications in optimization problems of engineering  ...  Particle Swarm Optimization In groups of birds acting in a cooperative energy-saving manner, individuals in the group continuously optimize the search mode, in view of the experience of group members.  ... 
doi:10.1109/jas.2021.1004129 fatcat:pv3ydpy53bejzphhjtajqvwqre

An Improved Particle Swarm Optimization-Powered Adaptive Classification and Migration Visualization for Music Style

Xiahan Liu
2021 Complexity  
It can find better network weights and thresholds so that particles can jump out of the local optimal solutions previously searched and search in a larger space.  ...  Based on the adaptive particle swarm algorithm and error backpropagation neural network, this paper proposes methods for different styles of music classification and migration visualization.  ...  Acknowledgments is work was supported by the Heilongjiang Province Philosophy and Social Science Research Planning Project, Heilongjiang Traditional Folk Music "North Ten Fan" Heritage and Innovation Research  ... 
doi:10.1155/2021/5515095 doaj:bc87c4b3f70f42c4b03ecfceab02fb6e fatcat:xh3sy6idsncjfnlgui5bft7ycu

An Improved Image Fusion Technique based on Texture Feature Optimization using Wavelet Transform and Particle of Swarm Optimization (POS)

Pooja Malviya, Amit Saxena
2014 International Journal of Computer Applications  
The proposed technique based on wavelet transforms function and particle of swarm optimisation technique.  ...  Now the detection process used high intensity multimedia camera for gathering brain stroke image for analysis of stroke.  ...  The process of feature optimization and selection is done by particle of swarm optimization. Particle of swarm optimization is dynamic population based searching technique.  ... 
doi:10.5120/17691-8656 fatcat:7dwf5lur2nbt3gedinou42tuwq

Massively parallel inverse rendering using Multi-objective Particle Swarm Optimization

Koki Nagano, Thomas Collins, Chi-An Chen, Aiichiro Nakano
2016 Journal of Visualization  
We present a novel GPU-accelerated per-pixel inverse rendering optimization algorithm based on Particle Swarm Optimization (PSO).  ...  Our algorithm estimates the per-pixel scene attributes-including reflectance properties-of a 3D model, and is fast enough to do in situ visualization of the optimization in real-time.  ...  Acknowledgments This work was developed from a final project for CSCI 596 (scientific computing and visualization) course at the University of Southern California.  ... 
doi:10.1007/s12650-016-0369-3 fatcat:fv6bkooowjcqdhvofafdjlegky

Path Planning for Visually Impaired People in an Unfamiliar Environment Using Particle Swarm Optimization

T.S.T. Yusof, S.F. Toha, H. Md. Yusof
2015 Procedia Computer Science  
Here, in this paper, we propose a path planning with predetermined waypoints method using Particle Swarm Optimization (PSO) algorithm.  ...  The system consists of a destination selection process and path planning process.  ...  Particle swarm optimization Particle swarm optimization (PSO) algorithm is an evolutionary computation technique developed by Kennedy and Eberhart corresponds to the social behavior of birds flocking and  ... 
doi:10.1016/j.procs.2015.12.281 fatcat:wc36ubp2ofhahp6usc362p5xcm
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