'Particle swarm' presentation slideshows

COMP 4106

482 views • 48 slides

The Particle Swarm: Theme and Variations on Computational Social Learning

The Particle Swarm: Theme and Variations on Computational Social Learning. James Kennedy Washington, DC Kennedy.Jim@gmail.com. The Particle Swarm. A stochastic, population-based algorithm for problem-solving Based on a social-psychological metaphor

607 views • 43 slides

Modern Heuristic Optimization Techniques and Potential Applications to Power System Control

Modern Heuristic Optimization Techniques and Potential Applications to Power System Control. Mohamed A El-Sharkawi The CIA lab Department of Electrical Engineering University of Washington Seattle, WA 98195-2500 elsharkawi@ee.washington.edu http://cialab.ee.washington.edu.

454 views • 33 slides

Windings For Permanent Magnet Machines Yao Duan, R. G. Harley and T. G. Habetler

Windings For Permanent Magnet Machines Yao Duan, R. G. Harley and T. G. Habetler Georgia Institute of Technology. OUTLINE. Introduction Overall Design Procedure Analytical Design Model Optimization Comparison Conclusions. Introduction.

309 views • 30 slides

Cellular Neural Networks Training and Implementation on a GPU Cluster

Cellular Neural Networks Training and Implementation on a GPU Cluster. Bipul Luitel , Cameron Johnson & Sinchan Roychowdhury Real-Time Power and Intelligent Systems Lab, Missouri S&T, Rolla, MO. Outline .

453 views • 25 slides

Firefly Algorithm By Rasool Tavakoli

Firefly Algorithm By Rasool Tavakoli. Outline. Abstract Introduction Particle Swarm Optimization Firefly Algorithm Comparison of FA with PSO and GA Conclusions References. Abstract. Nature-inspired algorithms are among the most powerful algorithms for optimization.

2.15k views • 22 slides

NASA/MSFC and UAH Viva 2.4.1/3.0 Starbridge Hypercomputer (HC-36) Clint Patrick/EV23

Overview. Application. Neural Network Implementation Optimization Genetic Algorithm Particle Swarm. NASA/MSFC and UAH Viva 2.4.1/3.0 Starbridge Hypercomputer (HC-36) Clint Patrick/EV23. Implementation Results. Tool Pluses and Minuses. Optimization

165 views • 16 slides

Soft Computing Applications

622 views • 14 slides

Particle Swarm Optimization (PSO)

Particle Swarm Optimization (PSO). MATH 3220 Student Presentations By: Jennifer Lamb. Outline. Definition History How it works Scenario/Key words Pseudo-Code Algorithm Application Advantages/Disadvantages Works Cited. What is PSO?. How did it get its name?

777 views • 11 slides

Professor: Ming- Shyan Wang Student: Yi-Ting Lin

Missing-Sensor-Fault-Tolerant Control for SSSC FACTS Device With Real-Time Implementation Wei Qiao , Member, IEEE, Ganesh Kumar Venayagamoorthy , Senior Member, IEEE, and Ronald G. Harley, Fellow, IEEE IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 24, NO. 2, APRIL 2009.

295 views • 11 slides

COMPE 564/ MODES 662 Natural Computing 201 3 Fall

COMPE 564/ MODES 662 Natural Computing 201 3 Fall Murat KARAKAYA Department of Computer Engineering. COMPE 564 / MODES 662 Natural Computing. Instructor s : Murat KARAKAYA Email : kmkarakaya@ atilim.edu.tr Office : Z-14 Lecture : Wednesday 14:30-17:20 @ 2031

328 views • 11 slides

Dr.-Ing. Sanaz Mostaghim

Dr.-Ing. Sanaz Mostaghim. Major Research Interests: Nature Inspired Optimization Methods Evolutionary Algorithms Swarm Intelligence (Particle Swarm Optimization) Multi-objective Optimization Organic Computing Grid Computing Summer Semester 2006:

621 views • 1 slides