BIO-INSPIRED PARTICLE SWARM OPTIMIZATION




INTRODUCTION


It was developed in 1995 by James Kennedy (social-psychologist) and Russell Eberhart (electrical engineer).
PSO is a robust stochastic optimization technique based on the movement and intelligence of swarms.
Belongs to the categories of Swarm Intelligence techniques and Evolutionary Algorithms for optimization.
The motivation of PSO algorithm was social behavior such as bird flocking, and fish sc ....etc

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Abstract
This paper presents a new technique for induction
motor parameter identification. The proposed technique is based
on a simple startup test using a standard V/F inverter. The
recorded startup currents are compared to that obtained by
simulation of an induction motor model. A Modified PSO
optimization is used to find out the best model parameter that
minimizes the sum square error between the measured and the
simulated currents. The performance of the modified PSO is
compared with other optimization methods including lin ....etc

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Modified particle swarm algorithm and swarm intelligence
by
Irene Antony Tharayil
105107
Department of Computer Science & Engineering
College of Engineering Trivandrum
Kerala - 695016
2010-11


Abstract
Swarm intelligence (SI) is emerged with collective intelligence of groups of simple agents. SI
oers an alternative way of designing intelligent system, in which autonomy, emergence and
distributed functioning replaces control, preprogramming and centralization systems.Particle
....etc

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This article is presented by:1K.CHANDRASEKARAN 2K.ARUL JEYARAJ 3L.SAHAYASENTHAMIL
4DR. M.SARAVANANA NEW METHOD TO INCORPORATE FACTS DEVICES
IN OPTIMAL POWER FLOW USING PARTICLE SWARM
OPTIMIZATION

ABSTRACT
In this work, Particle Swarm Optimization (PSO) for the solution of the optimal power flow (OPF) with use of controllable FACTS devices is studied. Two types of FACTS devices, thyristor controlled series compensator (TCSC) and thyristor-controlled phas ....etc

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Dear Sir, I am interested in a project on Intrusion Detection using Particle swarm optimization. We can use all the standard parameters. Data set to be used can be KDD cup1999.
Regards.


Sunil. ....etc

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pls post the code for image classification using pso algorithm ....etc

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thinks i try to use it for improve my programme ....etc

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particle swarm optimization for economic load ....etc

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Particle Swarm Optimization Algorithm and Its Application in Engineering Design Optimization

The Particle Swarm Optimization (PSO) method was originally proposed by J.Kennedy as a simulation of social behavior, and it was insitially introduced as an optimization method in 1995 (Eberhart and Kennedy, 1995). The PSO is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms looking for the most fertile feeding location. PSO's foundation is based on the principle that each solution ....etc

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Abstract—
The Particle Swarm Optimization (PSO) algorithm,as one of the latest algorithms inspired from the nature, wasintroduced in the mid 1990s and since then, it has been utilizedas an optimization tool in various applications, ranging frombiological and medical applications to computer graphics andmusic composition. In this paper, following a brief introductionto the PSO algorithm, the chronology of its evolution ispresented and all major PSO-based methods arecomprehensively surveyed. Next, these methods are studiedseparately an ....etc

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