Towards Efficient and Effective Smart Grid Control
|
|
|
- Alannah Hart
- 5 years ago
- Views:
Transcription
1 I-SENSE REU Final Presentation 08/04/17 Towards Efficient and Effective Smart Grid Control Michael Aiudi Ocean Engineering Student University of Rhode Island Rising Senior Less CO2 emissions and a more reliably power system
2 Outline Background Information Method: PSO + Grid Search Simulation and Results Conclusion 2/14
3 Background of Smart Grid What is a Smart grid an electricity supply network that uses digital communications technology to detect and react to local changes in usage Why do we need it Decrease cost, waste, and response time: - Easier add distributed generation and storage - Coordination and Communication - Detect errors 3/14
4 Challenges of Smart grid Optimization -Uncontrolled production and demand -New generation sources need to be able to be introduced easily -Transient surges of power Need for smarter controllers 4/14
5 What is: Particle Swarm Optimization -A way of searching for an optimal point -Originally based on a flock of birds -Searches for best food location through communication 5/14
6 How: Particle Swarm Optimization -Starts randomly and compares particles location to personal and global best -Moves toward best location at partially-random velocity, overshoots, repeats V "#$ =W*V " + c1 rand Pbest x " + c2 rand Gbest x " x "#$ = x " + V "#$ 6/14
7 Smart Grid Simulation Model Home Load, Cloud Shading and Solar Panels, Generator, Controllers 7/14
8 Simplified vs Realistic Models Simple: Load put on the system Realistic: Load put on the system, with the noise from distributed generation 8/14
9 PSO fitness vs. iteration Simplified Model Realistic Model 11/14
10 PSO vs Grid Search: Simplified Model -Grid Search min -PSO 20.9 min ( Over 26 times faster) Time (min) P I Fitness PSO Grid Search /14
11 PSO vs Grid Search: Realistic -Grid Search min -PSO 21.1 min (23 times faster) Time (min) P I Fitness PSO Grid Search /14
12 Conclusion -Smart grid is the future of power systems -It brings new challenges, such as frequency fluctuations -Smart controllers can deal with these challenges through use of Particle Swarm Optimization 12/14
13 Acknowledgments National Science Foundation I-SENSE Florida Atlantic University Prof. Jason Hallstrom Prof. Yufei Tang Andrea Gonzalez and Mary Jo Jackson The rest of the I-SENSE faculty, staff, and students 13/14
14 References &ved=0ahukewimtlhsz7pvahwcrcykhvcccoyq_auidcgd&biw=1920&bih=974#imgrc=lqqdzkyomzkkwm &ved=0ahukewjw1iup0lpvahxk5yykhzdia8eq_auicygc&biw=1920&bih=974#imgrc=5skso2reapagzm o-oya8bbvahugysykhe6mbnuq_auicygc&biw=1745&bih=885#imgrc=ew24-xm-cgxdzm d=0ahukewjx6ruk6lbvahvbryykhbovduwq_auidcgd&biw=1745&bih=885#imgrc=hfl--1be1afn4m UzoK57vTUAhUFNT4KHekyALkQ_AUICygC&biw=1920&bih=925#tbm=isch&q=bird+flock+and+school+of+fish&imgrc=go ppatbw5hs8im X&ved=0ahUKEwiYieWm7fTUAhUPET4KHWnZDn4Q_AUICCgD&biw=1920&bih=925#imgrc=uRrIlg0-kR7srM X&ved=0ahUKEwiYieWm7fTUAhUPET4KHWnZDn4Q_AUICCgD&biw=1920&bih=974#imgrc=kCRSZSu86QgB9M +SENSE+fau&gs_l=psy-ab psyab j0i8i30k1.yCAolKklOoY#imgrc=bWcbSAuAaaEVDM 14/14
Week 9 Computational Intelligence: Particle Swarm Optimization
Week 9 Computational Intelligence: Particle Swarm Optimization Mudrik Alaydrus Faculty of Computer Sciences University of Mercu Buana, Jakarta mudrikalaydrus@yahoo.com Presentasi Mudrik Alaydrus 8Mudrik
OPTIMUM CAPACITY ALLOCATION OF DISTRIBUTED GENERATION UNITS USING PARALLEL PSO USING MESSAGE PASSING INTERFACE
OPTIMUM CAPACITY ALLOCATION OF DISTRIBUTED GENERATION UNITS USING PARALLEL PSO USING MESSAGE PASSING INTERFACE Rosamma Thomas 1, Jino M Pattery 2, Surumi Hassainar 3 1 M.Tech Student, Electrical and Electronics,
III. PV PRIORITY CONTROLLER
Proceedings of the 27 IEEE Swarm Intelligence Symposium (SIS 27) A Fuzzy-PSO Based Controller for a Grid Independent Photovoltaic System Richard Welch, Student Member, IEEE, and Ganesh K. Venayagamoorthy,
PSO based Adaptive Force Controller for 6 DOF Robot Manipulators
, October 25-27, 2017, San Francisco, USA PSO based Adaptive Force Controller for 6 DOF Robot Manipulators Sutthipong Thunyajarern, Uma Seeboonruang and Somyot Kaitwanidvilai Abstract Force control in
Designing of Optimized Combinational Circuits Using Particle Swarm Optimization Algorithm
Advances in Computational Sciences and Technology ISSN 0973-6107 Volume 10, Number 8 (2017) pp. 2395-2410 Research India Publications http://www.ripublication.com Designing of Optimized Combinational Circuits
Feeder Reconfiguration Using Binary Coding Particle Swarm Optimization
488 International Journal Wu-Chang of Control, Wu Automation, and Men-Shen and Systems, Tsai vol. 6, no. 4, pp. 488-494, August 2008 Feeder Reconfiguration Using Binary Coding Particle Swarm Optimization
Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization
Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization M. Shahab Alam, M. Usman Rafique, and M. Umer Khan Abstract Motion planning is a key element of robotics since it empowers
Reconfiguration Optimization for Loss Reduction in Distribution Networks using Hybrid PSO algorithm and Fuzzy logic
Bulletin of Environment, Pharmacology and Life Sciences Bull. Env. Pharmacol. Life Sci., Vol 4 [9] August 2015: 115-120 2015 Academy for Environment and Life Sciences, India Online ISSN 2277-1808 Journal
Feature weighting using particle swarm optimization for learning vector quantization classifier
Journal of Physics: Conference Series PAPER OPEN ACCESS Feature weighting using particle swarm optimization for learning vector quantization classifier To cite this article: A Dongoran et al 2018 J. Phys.:
Particle swarm optimization for mobile network design
Particle swarm optimization for mobile network design Ayman A. El-Saleh 1,2a), Mahamod Ismail 1, R. Viknesh 2, C. C. Mark 2, and M. L. Chan 2 1 Department of Electrical, Electronics, and Systems Engineering,
Convolutional Code Optimization for Various Constraint Lengths using PSO
International Journal of Electronics and Communication Engineering. ISSN 0974-2166 Volume 5, Number 2 (2012), pp. 151-157 International Research Publication House http://www.irphouse.com Convolutional
Object Recognition using Particle Swarm Optimization on Fourier Descriptors
Object Recognition using Particle Swarm Optimization on Fourier Descriptors Muhammad Sarfraz 1 and Ali Taleb Ali Al-Awami 2 1 Department of Information and Computer Science, King Fahd University of Petroleum
Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics
Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics Yogita Gigras Nikita Jora Anuradha Dhull ABSTRACT Path planning has been a part of research from a decade and has been
PARTICLE SWARM OPTIMIZATION (PSO)
PARTICLE SWARM OPTIMIZATION (PSO) J. Kennedy and R. Eberhart, Particle Swarm Optimization. Proceedings of the Fourth IEEE Int. Conference on Neural Networks, 1995. A population based optimization technique
A *69>H>N6 #DJGC6A DG C<>C::G>C<,8>:C8:H /DA 'D 2:6G, ()-"&"3 -"(' ( +-" " " % '.+ % ' -0(+$,
The structure is a very important aspect in neural network design, it is not only impossible to determine an optimal structure for a given problem, it is even impossible to prove that a given structure
Traffic Signal Control Based On Fuzzy Artificial Neural Networks With Particle Swarm Optimization
Traffic Signal Control Based On Fuzzy Artificial Neural Networks With Particle Swarm Optimization J.Venkatesh 1, B.Chiranjeevulu 2 1 PG Student, Dept. of ECE, Viswanadha Institute of Technology And Management,
Discrete Particle Swarm Optimization for Solving a Single to Multiple Destinations in Evacuation Planning
Discrete Particle Swarm Optimization for Solving a Single to Multiple Destinations in Evacuation Planning 1 MARINA YUSOFF, 2 JUNAIDAH ARIFFIN, 1 AZLINAH MOHAMED 1 Faculty of Computer and Mathematical Sciences
LECTURE 16: SWARM INTELLIGENCE 2 / PARTICLE SWARM OPTIMIZATION 2
15-382 COLLECTIVE INTELLIGENCE - S18 LECTURE 16: SWARM INTELLIGENCE 2 / PARTICLE SWARM OPTIMIZATION 2 INSTRUCTOR: GIANNI A. DI CARO BACKGROUND: REYNOLDS BOIDS Reynolds created a model of coordinated animal
A NEW APPROACH TO SOLVE ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION
A NEW APPROACH TO SOLVE ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION Manjeet Singh 1, Divesh Thareja 2 1 Department of Electrical and Electronics Engineering, Assistant Professor, HCTM Technical
An Approach to Polygonal Approximation of Digital CurvesBasedonDiscreteParticleSwarmAlgorithm
Journal of Universal Computer Science, vol. 13, no. 10 (2007), 1449-1461 submitted: 12/6/06, accepted: 24/10/06, appeared: 28/10/07 J.UCS An Approach to Polygonal Approximation of Digital CurvesBasedonDiscreteParticleSwarmAlgorithm
Parameter Estimation of PI Controller using PSO Algorithm for Level Control
Parameter Estimation of PI Controller using PSO Algorithm for Level Control 1 Bindutesh V.Saner, 2 Bhagsen J.Parvat 1,2 Department of Instrumentation & control Pravara Rural college of Engineering, Loni
KEYWORDS: Mobile Ad hoc Networks (MANETs), Swarm Intelligence, Particle Swarm Optimization (PSO), Multi Point Relay (MPR), Throughput.
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY APPLICATION OF SWARM INTELLIGENCE PSO TECHNIQUE FOR ANALYSIS OF MULTIMEDIA TRAFFIC AND QOS PARAMETERS USING OPTIMIZED LINK STATE
An improved PID neural network controller for long time delay systems using particle swarm optimization algorithm
An improved PID neural network controller for long time delay systems using particle swarm optimization algorithm A. Lari, A. Khosravi and A. Alfi Faculty of Electrical and Computer Engineering, Noushirvani
Particle Swarm Optimization
Dario Schor, M.Sc., EIT schor@ieee.org Space Systems Department Magellan Aerospace Winnipeg Winnipeg, Manitoba 1 of 34 Optimization Techniques Motivation Optimization: Where, min x F(x), subject to g(x)
CHAPTER 6 HYBRID AI BASED IMAGE CLASSIFICATION TECHNIQUES
CHAPTER 6 HYBRID AI BASED IMAGE CLASSIFICATION TECHNIQUES 6.1 INTRODUCTION The exploration of applications of ANN for image classification has yielded satisfactory results. But, the scope for improving
Energy-Efficient Cluster Formation Techniques: A Survey
Energy-Efficient Cluster Formation Techniques: A Survey Jigisha Patel 1, Achyut Sakadasariya 2 P.G. Student, Dept. of Computer Engineering, C.G.P.I.T, Uka Tarasadia University, Bardoli, Gujarat, India
Swarm Intelligence Particle Swarm Optimization. Erick Luerken 13.Feb.2006 CS 790R, University of Nevada, Reno
Swarm Intelligence Particle Swarm Optimization Erick Luerken 13.Feb.2006 CS 790R, University of Nevada, Reno Motivation Discuss assigned literature in terms of complexity leading to actual applications
Image Enhancement using Ant Colony Optimization
IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) ISSN: 2319 4200, ISBN No. : 2319 4197 Volume 1, Issue 3 (Nov. - Dec. 2012), PP 38-45 Image Enhancement using Ant Colony Optimization Kanika Gupta
THREE PHASE FAULT DIAGNOSIS BASED ON RBF NEURAL NETWORK OPTIMIZED BY PSO ALGORITHM
THREE PHASE FAULT DIAGNOSIS BASED ON RBF NEURAL NETWORK OPTIMIZED BY PSO ALGORITHM M. Sivakumar 1 and R. M. S. Parvathi 2 1 Anna University, Tamilnadu, India 2 Sengunthar College of Engineering, Tamilnadu,
Object Recognition using Particle Swarm Optimization on Fourier Descriptors
Object Recognition using Particle Swarm Optimization on Fourier Descriptors Muhammad Sarfraz Ali Taleb Ali Al-Awami King Fahd University of Petroleum and Minerals KFUPM # 1510, Dhahran 31261, Saudi Arabia
Image Edge Detection Based on Cellular Neural Network and Particle Swarm Optimization
Transactions on Computer Science and Technology March 2014, Volume 3, Issue 1, PP.1-8 Image Edge Detection Based on Cellular Neural Network and Particle Swarm Optimization Zhengxia Wang #, Lili Li Department
Particle Swarm Optimization Approach for Scheduling of Flexible Job Shops
Particle Swarm Optimization Approach for Scheduling of Flexible Job Shops 1 Srinivas P. S., 2 Ramachandra Raju V., 3 C.S.P Rao. 1 Associate Professor, V. R. Sdhartha Engineering College, Vijayawada 2 Professor,
Available online at ScienceDirect. Procedia Computer Science 65 (2015 )
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 65 (205 ) 920 929 International Conference on Communication, Management and Information Technology (ICCMIT 205) Enhanced
Video Coding Technique Using 3D Dualtree Discrete Wavelet Transform with Multi Objective Particle Swarm Optimization Approaches
American Journal of Applied Sciences, 10 (2): 179-184, 2013 ISSN: 1546-9239 2013 Muthusamy and Ramachandran, This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license
Generation of Ultra Side lobe levels in Circular Array Antennas using Evolutionary Algorithms
Generation of Ultra Side lobe levels in Circular Array Antennas using Evolutionary Algorithms D. Prabhakar Associate Professor, Dept of ECE DVR & Dr. HS MIC College of Technology Kanchikacherla, AP, India.
Kyrre Glette INF3490 Evolvable Hardware Cartesian Genetic Programming
Kyrre Glette kyrrehg@ifi INF3490 Evolvable Hardware Cartesian Genetic Programming Overview Introduction to Evolvable Hardware (EHW) Cartesian Genetic Programming Applications of EHW 3 Evolvable Hardware
GRID SCHEDULING USING ENHANCED PSO ALGORITHM
GRID SCHEDULING USING ENHANCED PSO ALGORITHM Mr. P.Mathiyalagan 1 U.R.Dhepthie 2 Dr. S.N.Sivanandam 3 1 Lecturer 2 Post Graduate Student 3 Professor and Head Department of Computer Science and Engineering
Optimization of Observation Membership Function By Particle Swarm Method for Enhancing Performances of Speaker Identification
Proceedings of the 6th WSEAS International Conference on SIGNAL PROCESSING, Dallas, Texas, USA, March 22-24, 2007 52 Optimization of Observation Membership Function By Particle Swarm Method for Enhancing
Weight Optimization for a Neural Network using Particle Swarm Optimization (PSO)
Institute of Integrated Sensor Systems Dept. of Electrical Engineering and Information Technology Weight Optimization for a Neural Network using Particle Swarm Optimization (PSO) Stefanie Peters October
FOREST PLANNING USING PSO WITH A PRIORITY REPRESENTATION
FOREST PLANNING USING PSO WITH A PRIORITY REPRESENTATION P.W. Brooks and W.D. Potter Institute for Artificial Intelligence, University of Georgia, USA Overview Background: (NIO Project 1 ) PSO -- GA --
Particle Swarm Optimization
Particle Swarm Optimization Gonçalo Pereira INESC-ID and Instituto Superior Técnico Porto Salvo, Portugal gpereira@gaips.inesc-id.pt April 15, 2011 1 What is it? Particle Swarm Optimization is an algorithm
Modified Particle Swarm Optimization
Modified Particle Swarm Optimization Swati Agrawal 1, R.P. Shimpi 2 1 Aerospace Engineering Department, IIT Bombay, Mumbai, India, swati.agrawal@iitb.ac.in 2 Aerospace Engineering Department, IIT Bombay,
APPLICATION OF BPSO IN FLEXIBLE MANUFACTURING SYSTEM SCHEDULING
International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 5, May 2017, pp. 186 195, Article ID: IJMET_08_05_020 Available online at http://www.ia aeme.com/ijmet/issues.asp?jtype=ijmet&vtyp
An Intelligent Mesh Based Multicast Routing Algorithm for MANETs using Particle Swarm Optimization
214 An Intelligent Mesh Based Multicast Routing Algorithm for MANETs using Particle Swarm Optimization E. Baburaj 1, and V. Vasudevan 2 1. Research Scholar, Anna University 2. Professor, Department of
ISAR IMAGING OF MULTIPLE TARGETS BASED ON PARTICLE SWARM OPTIMIZATION AND HOUGH TRANSFORM
J. of Electromagn. Waves and Appl., Vol. 23, 1825 1834, 2009 ISAR IMAGING OF MULTIPLE TARGETS BASED ON PARTICLE SWARM OPTIMIZATION AND HOUGH TRANSFORM G.G.Choi,S.H.Park,andH.T.Kim Department of Electronic
Instructor: Dr. Benjamin Thompson Lecture 15: 3 March 2009
Instructor: Dr. Benjamin Thompson Lecture 15: 3 March 2009 Announcements Homework 5 due right now No homework assignment over Spring Break, because your instructor is such an awesome guy. In other words,
Argha Roy* Dept. of CSE Netaji Subhash Engg. College West Bengal, India.
Volume 3, Issue 3, March 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Training Artificial
A particle swarm optimization algorithm for the continuous absolute p-center location problem with Euclidean distance
A particle swarm optimization algorithm for the continuous absolute p-center location problem with Euclidean distance Hassan M. Rabie PhD Researcher, Decision Support, Faculty of Computers and Information,
PSO algorithm for an optimal power controller in a microgrid
Edith Cowan University Research Online ECU Publications Post 2013 2017 PSO algorithm for an optimal power controller in a microgrid Waleed Al-Saedi Edith Cowan University, w.al-saedi@ecu.edu.au Stefan
Improving QoS Parameters for Cloud Data Centers Using Dynamic Particle Swarm Optimization Load Balancing Algorithm
Improving QoS Parameters for Cloud Data Centers Using Dynamic Particle Swarm Optimization Load Balancing Algorithm Bharti Sharma Master of Computer Engineering, LDRP Institute of Technology and Research,
Optimization design of a RC slab under impact load using DPSO-based multiple optimal solutions
Structures Under Shoc and Impact IX 97 Optimization design of a RC slab under impact load using DPSO-based multiple optimal solutions M. Beppu, H. Emoto, H. Naamura & A. Miyamoto Department of Civil and
Index Terms PSO, parallel computing, clustering, multiprocessor.
Parallel Particle Swarm Optimization in Data Clustering Yasin ORTAKCI Karabuk University, Computer Engineering Department, Karabuk, Turkey yasinortakci@karabuk.edu.tr Abstract Particle Swarm Optimization
Adaptive Multi-objective Particle Swarm Optimization Algorithm
Adaptive Multi-objective Particle Swarm Optimization Algorithm P. K. Tripathi, Sanghamitra Bandyopadhyay, Senior Member, IEEE and S. K. Pal, Fellow, IEEE Abstract In this article we describe a novel Particle
Stationary Wavelet Transform Image Fusion and Optimization Using Particle Swarm Optimization
IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661,p-ISSN: 2278-8727, Volume 18, Issue 3, Ver. V (May-Jun. 2016), PP 32-38 www.iosrjournals.org Stationary Wavelet Transform Image Fusion
SIMULTANEOUS COMPUTATION OF MODEL ORDER AND PARAMETER ESTIMATION FOR ARX MODEL BASED ON MULTI- SWARM PARTICLE SWARM OPTIMIZATION
SIMULTANEOUS COMPUTATION OF MODEL ORDER AND PARAMETER ESTIMATION FOR ARX MODEL BASED ON MULTI- SWARM PARTICLE SWARM OPTIMIZATION Kamil Zakwan Mohd Azmi, Zuwairie Ibrahim and Dwi Pebrianti Faculty of Electrical
Speed Control of DC Motor using PID Controller Based on Different Techniques of PSO
ISSN (Print) : 2320 3765 ISSN (Online): 2278 8875 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 6,
Hybrid of Ant Colony Optimization and Gravitational Emulation Based Load Balancing Strategy in Cloud Computing
Hybrid of Ant Colony Optimization and Gravitational Emulation Based Load Balancing Strategy in Cloud Computing Jyoti Yadav 1, Dr. Sanjay Tyagi 2 1M.Tech. Scholar, Department of Computer Science & Applications,
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization Dr. Liu Dasheng James Cook University, Singapore / 48 Outline of Talk. Particle Swam Optimization 2. Multiobjective Particle Swarm
Step Size Optimization of LMS Algorithm Using Particle Swarm Optimization Algorithm in System Identification
IJCSNS International Journal of Computer Science and Network Security, VOL.13 No.6, June 2013 125 Step Size Optimization of LMS Algorithm Using Particle Swarm Optimization Algorithm in System Identification
A Novel Hénon Map Based Adaptive PSO for Wavelet Shrinkage Image Denoising
BIJIT - BVICAM s International Journal of Information Technology Bharati Vidyapeeth s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA) Shruti Gandhi 1, Sonal Doomra 2, Akash
Three-Dimensional Off-Line Path Planning for Unmanned Aerial Vehicle Using Modified Particle Swarm Optimization
Three-Dimensional Off-Line Path Planning for Unmanned Aerial Vehicle Using Modified Particle Swarm Optimization Lana Dalawr Jalal Abstract This paper addresses the problem of offline path planning for
Cell-to-switch assignment in. cellular networks. barebones particle swarm optimization
Cell-to-switch assignment in cellular networks using barebones particle swarm optimization Sotirios K. Goudos a), Konstantinos B. Baltzis, Christos Bachtsevanidis, and John N. Sahalos RadioCommunications
A RANDOM SYNCHRONOUS-ASYNCHRONOUS PARTICLE SWARM OPTIMIZATION ALGORITHM WITH A NEW ITERATION STRATEGY
A RANDOM SYNCHRONOUS-ASYNCHRONOUS PARTICLE SWARM OPTIMIZATION ALORITHM WITH A NEW ITERATION STRATEY Nor Azlina Ab Aziz 1,2, Shahdan Sudin 3, Marizan Mubin 1, Sophan Wahyudi Nawawi 3 and Zuwairie Ibrahim
A Modified Particle Swarm Optimization for Multi-objective Open Shop Scheduling
A Modified Particle Swarm Optimization for Multi-objectie Open Shop Scheduling D. Y. Sha, Hsing-Hung in, C.-Y. Hsu Abstract This article proposes a particle swarm optimization (PSO) technique to address
The Pennsylvania State University. The Graduate School. Department of Electrical Engineering COMPARISON OF CAT SWARM OPTIMIZATION WITH PARTICLE SWARM
The Pennsylvania State University The Graduate School Department of Electrical Engineering COMPARISON OF CAT SWARM OPTIMIZATION WITH PARTICLE SWARM OPTIMIZATION FOR IIR SYSTEM IDENTIFICATION A Thesis in
Discrete Particle Swarm Optimization for TSP based on Neighborhood
Journal of Computational Information Systems 6:0 (200) 3407-344 Available at http://www.jofcis.com Discrete Particle Swarm Optimization for TSP based on Neighborhood Huilian FAN School of Mathematics and
Constrained Classification of Large Imbalanced Data
Constrained Classification of Large Imbalanced Data Martin Hlosta, R. Stríž, J. Zendulka, T. Hruška Brno University of Technology, Faculty of Information Technology Božetěchova 2, 612 66 Brno ihlosta@fit.vutbr.cz
ABC Analysis For Economic operation of power system
ABC Analysis For Economic operation of power system 1 Prachi Shukla, 2.Alka Thakur 1 M.tech Schlor, Electrical Department, SSSUTMS, M.P.India 2 Associate Professor, Electrical Department, SSSUTMS, M.P.India
A Study on Optimization Algorithms for Clustering Gene Expression Data
A Study on Optimization Algorithms for Clustering Gene Expression Data Athul Jose 1, Chandrasekar P 2 PG scholor Dept of CSE, Bannari Amman Institute of technology, Sathyamangalam, Tamilnadu, India 1,
A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto- Calibration
ISSN 2229-5518 56 A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto- Calibration Ahmad Fariz Hasan, Ali Abuassal, Mutaz Khairalla, Amar Faiz Zainal Abidin, Mohd Fairus
Binary Particle Swarm Optimization Based Defensive Islanding Of Large Scale Power Systems
International Journal of Computer Science & Applications Vol. 4 Issue 3, pp 6-83 7 Technomathematics Research Foundation Binary Particle Swarm Optimization Based Defensive Islanding Of Large Scale Power
A METHOD FOR DIAGNOSIS OF LARGE AIRCRAFT ENGINE FAULT BASED ON PARTICLE SWARM ROUGH SET REDUCTION
A METHOD FOR DIAGNOSIS OF LARGE AIRCRAFT ENGINE FAULT BASED ON PARTICLE SWARM ROUGH SET REDUCTION ZHUANG WU Information College, Capital University of Economics and Business, Beijing 100070, China ABSTRACT
Improving Tree-Based Classification Rules Using a Particle Swarm Optimization
Improving Tree-Based Classification Rules Using a Particle Swarm Optimization Chi-Hyuck Jun *, Yun-Ju Cho, and Hyeseon Lee Department of Industrial and Management Engineering Pohang University of Science
Kent Academic Repository
Kent Academic Repository Full text document (pdf) Citation for published version Iqbal, Musaddar and Freitas, Alex A. and Johnson, Colin G. (2005) Varying the Topology and Probability of Re-Initialization
Solving Economic Load Dispatch Problems in Power Systems using Genetic Algorithm and Particle Swarm Optimization
Solving Economic Load Dispatch Problems in Power Systems using Genetic Algorithm and Particle Swarm Optimization Loveleen Kaur 1, Aashish Ranjan 2, S.Chatterji 3, and Amod Kumar 4 1 Asst. Professor, PEC
Research on Improved Particle Swarm Optimization based on Membrane System in Cloud Resource Scheduling
Research on Improved Particle Swarm Optimization based on Membrane System in Cloud Resource Scheduling n a1 ; Wenjie Gong b ; Tingyu Liang c University of Electronic Science and Technology of China Chendu,
Particle Swarm Optimizer for Finding Robust Optima. J.K. Vis
Particle Swarm Optimizer for Finding Robust Optima J.K. Vis jvis@liacs.nl June 23, 2009 ABSTRACT Many real-world processes are subject to uncertainties and noise. Robust Optimization methods seek to obtain
Creating Study Package Structures
Overview A study package structure is an outline of the course components that students are required to complete in order to attain their award. It contains information about majors, streams and units
Grid Deployment with Clustering in Wireless Sensor Networks
International Journal of Control Theory and Applications ISSN : 0974-5572 International Science Press Volume 9 Number 43 2016 Grid Deployment with Clustering in Wireless Sensor Networks Veena Anand a and
A MULTI-SWARM PARTICLE SWARM OPTIMIZATION WITH LOCAL SEARCH ON MULTI-ROBOT SEARCH SYSTEM
A MULTI-SWARM PARTICLE SWARM OPTIMIZATION WITH LOCAL SEARCH ON MULTI-ROBOT SEARCH SYSTEM BAHAREH NAKISA, MOHAMMAD NAIM RASTGOO, MOHAMMAD FAIDZUL NASRUDIN, MOHD ZAKREE AHMAD NAZRI Department of Computer
PARTICLE SWARM OPTIMIZATION APPLICATION IN OPTIMIZATION
131 4 Dkiember 2008 PARTCLE SWARM OPTMZATON APPLCATON N OPTMZATON Abdul Talib Bon, PhD Deputy Dean (Research & Development) Faculty of Technology Management Universiti Tun Hussein Onn Malaysia 86400 Parit
A new way to optimize LDPC code in gaussian multiple access channel
Acta Technica 62 (2017), No. 4A, 495504 c 2017 Institute of Thermomechanics CAS, v.v.i. A new way to optimize LDPC code in gaussian multiple access channel Jingxi Zhang 2 Abstract. The code design for
Energy Efficiency Using Load Balancing in Cloud Data Centers: Proposed Methodology
Energy Efficiency Using Load Balancing in Cloud Data Centers: Proposed Methodology Rajni Mtech, Department of Computer Science and Engineering DCRUST, Murthal, Sonepat, Haryana, India Kavita Rathi Assistant
Clustering of datasets using PSO-K-Means and PCA-K-means
Clustering of datasets using PSO-K-Means and PCA-K-means Anusuya Venkatesan Manonmaniam Sundaranar University Tirunelveli- 60501, India anusuya_s@yahoo.com Latha Parthiban Computer Science Engineering
Particle Swarm Optimization Applied to Job Shop Scheduling
NATIONAL INSTITUTE OF TECHNOLOGY, ROURKELA Submission of project report for the evaluation of the final year project Titled Particle Swarm Optimization Applied to Job Shop Scheduling Under the guidance
[Kashyap*, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785
![[Kashyap*, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785](/thumbs/89/100954519.jpg "[Kashyap*, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785")
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY DETERMINATION OF OPTIMAL LOCATION OF SVC CONTROLLER DEVICES IN ELECTRIC TRANSMISSION SYSTEM BY USING PSO METHOD Vibha Kashyap*,
Improving local and regional earthquake locations using an advance inversion Technique: Particle swarm optimization
ISSN 1 746-7233, England, UK World Journal of Modelling and Simulation Vol. 8 (2012) No. 2, pp. 135-141 Improving local and regional earthquake locations using an advance inversion Technique: Particle
Comparative Analysis of Swarm Intelligence Optimization Techniques for Cloud Scheduling
Comparative Analysis of Swarm Intelligence Optimization Techniques for Cloud Scheduling S.J.Mohana 1, Dr.M.Saroja 2, Dr.M.Venkatachalam 3 1 Dept. of Computer Applications, 2,3 Dept. of Electronics 1,2,3
1 BACKGROUND 2 SETTING UP THE HOME AND GOOGLE DRIVES THROUGH WEBSTORAGE. Using the Home Drive to Save from U5 Cloud Updated 8.31.
Using the Home Drive to Save from U5 Cloud Contents 1 Background... 1 2 Setting Up the Home and Google Drives through webstorage... 1 3 Saving a Document to the Home Drive... 2 4 Finding and Opening Your
Optimized Node Deployment using Enhanced Particle Swarm Optimization for WSN
Optimized Node Deployment using Enhanced Particle Swarm Optimization for WSN Arvind M Jagtap 1, Prof. M.A.Shukla 2 1,2 Smt. Kashibai Navale COE, University of Pune, India Abstract Sensor nodes deployment
Handling Multi Objectives of with Multi Objective Dynamic Particle Swarm Optimization
Handling Multi Objectives of with Multi Objective Dynamic Particle Swarm Optimization Richa Agnihotri #1, Dr. Shikha Agrawal #1, Dr. Rajeev Pandey #1 # Department of Computer Science Engineering, UIT,
EE 553 Term Project Report Particle Swarm Optimization (PSO) and PSO with Cross-over
EE Term Project Report Particle Swarm Optimization (PSO) and PSO with Cross-over Emre Uğur February, 00 Abstract In this work, Particle Swarm Optimization (PSO) method is implemented and applied to various
PSOk-NN: A Particle Swarm Optimization Approach to Optimize k-nearest Neighbor Classifier
PSOk-NN: A Particle Swarm Optimization Approach to Optimize k-nearest Neighbor Classifier Alaa Tharwat 1,2,5, Aboul Ella Hassanien 3,4,5 1 Dept. of Electricity- Faculty of Engineering- Suez Canal University,
ATI Material Do Not Duplicate ATI Material. www. ATIcourses.com. www. ATIcourses.com
ATI Material Material Do Not Duplicate ATI Material Boost Your Skills with On-Site Courses Tailored to Your Needs www.aticourses.com The Applied Technology Institute specializes in training programs for
Non Dominated Particle Swarm Optimization For Scheduling Independent Tasks On Heterogeneous Distributed Environments
Int. J. Advance. Soft Comput. Appl., Vol. 3, No. 1, March 2011 ISSN 2074-8523; Copyright ICSRS Publication, 2011 www.i-csrs.org Non Dominated Particle Swarm Optimization For Scheduling Independent Tasks
Implementation and Comparison between PSO and BAT Algorithms for Path Planning with Unknown Environment
Implementation and Comparison between PSO and BAT Algorithms for Path Planning with Unknown Environment Dr. Mukesh Nandanwar 1, Anuj Nandanwar 2 1 Assistance Professor (CSE), Chhattisgarh Engineering College,
Max-Min Particle Swarm Optimization Algorithm with Load Balancing for Distributed Task Scheduling on the Grid Environment
www.ijcsi.org 365 Max-Min Particle Swarm Optimization Algorithm with Load Balancing for Distributed Task Scheduling on the Grid Environment C.Kalpana 1 U.Karthick Kumar 2 and R.Gogulan 3 1 Assistant Professor,
Optimal Design of the Facility Layout using Improved Particle Swarm Optimization
IJRMET Vo l. 6, Is s u e 2, Ma y - Oc t 2016 ISSN : 2249-5762 (Online) ISSN : 2249-5770 (Print) Optimal Design of the Facility Layout using Improved Particle Swarm Optimization 1 Sujit Kumar Jha, 2 Shiv
Computer-Aided Diagnosis for Lung Diseases based on Artificial Intelligence: A Review to Comparison of Two- Ways: BP Training and PSO Optimization
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 4, Issue. 6, June 2015, pg.1121
ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION
ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION Shubham Tiwari 1, Ankit Kumar 2, G.S Chaurasia 3, G.S Sirohi 4 1 Department of Electrical&Electronics Engineering Ajay Kumar Garg Engineering College,