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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please post me the complete seminar report on space borne particle detector. ....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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Particle reinforced MMC?s are now being produced commercially and in this paper the various processing techniques used for the production of aluminium composites and factors affecting their quality are overviewed. The various techniques like powder metallurgy, spray deposition, molten metal infiltration, molten metal mixing, liquid metallurgy, compo-casting technique etc. The factors affecting the uniform dispersion of the composites and the various properties of the metal matrix composites are also discussed. Aluminium alloy matrix particulate ....etc

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SYNOPSIS

Non- destructive estimation of particle size of finished products is essentially required to judge their suitability for intended applications. For this estimation, a ceramic heating element (SiC rod) of a heat Treatment furnace at 1400 Degree celcius has been chosen. The particle size has been estimated with the proposed method based on counting reflection spots in a back reflection X-Ray pattern. Calibration curve has been drawn on the basis of the data obtained by standard sieve me ....etc

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Particle Filters


Anoop K.R.
(M.Sc Engg)
Under the guidance of Prof K.R.Ramakrishnan
Electrical Engineering
Indian Institute of Science

A Dynamical system consists of
A state variable whose values describe the state of the system.
A dynamical rule which specifies the next state of the system, given
only the present value of the system.
A Dynamical system can be either deterministic or stochastic depending
on the rule.
A Dynamical system can be either continuous or discrete time.
We are interested ....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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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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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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Thermophoresis is a phenomenon of the movement of small particles in a gas with a temperature gradient towards the cooler region of the gas. Small particles, such as dust, when suspended in a non-isothermal gas, experience a force in the direction opposite to the temperature gradient. This force, known as the thermophoretic force plays an important role in the mass transfer mechanism of several devices involving sub-micron and micron sized particles and a large thermal gradient, and it is often cited as an important one influence the efficiency ....etc

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