Abstract
This paper presents an optimization of a four-degrees-of-freedom quarter car seat and suspension system using genetic algorithms to
determine a set of parameters to achieve the best performance of the driver. Since the health of the driver is as important as the stability
of the car, the desired objective is proposed as the minimization of a multiobjective function formed by the combination of not only
suspension deflection and tire deflection but also the head acceleration and crest factor (CF), which is not practiced as us ....etc

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A near-optimal multi cast scheme for mobile ad hoc networks using a hybrid genetic algorithm
Abstract: Multi cast routing is an effective way to communicate among multiple hosts in a network. It outperforms the basic broadcast strategy by sharing resources along general links, while sending information to a set of predefined multiple destinations concurrently. However, it is vulnerable to component failure in ad hoc network due to the lack of redundancy, multiple paths and multicast tree structure. Tree graph optimization problems (GOP) are ....etc

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I need the matlab code for Multinode Cooperative Communications in Wireless Networks

thanks ....etc

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to get information about the topic economic load dispatch using genetic algorithm full report,ppt and related topic please refer the page link bellow

http://seminarsprojects.net/Thread-application-of-genetic-algorithm-to-economic-load-dispatch-full-report

http://seminarsprojects.net/Thread-economic-load-dispatch

http://seminarsprojects.net/Thread-on-line-emission-and-economic-load-dispatch-using-adaptive-hopfield-neural-network ....etc

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ABSTRACT

Evolutionary algorithms are becoming an important aspect of artificial intelligence and are successfully applied to a variety of optimization problems. This paper presents genetic algorithm and quadratic programming concepts in solving economic load dispatch in which the total cost of generating power is minimized with a valve point loading effect while satisfying the load demand irrespective of transmission line losses. This work aims in modeling the economic load dispatch problem with transmission loss and is being applied to the te ....etc

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Optimal Reactive Power Dispatch for Voltage Instability
Alleviation Using Evolutionary Programming Technique

MUSIRIN, T. K. A. RAHMAN, M. K. IDRIS
Faculty of Electrical Engineering
MARA University of Technology
40450 Shah Alam, Selangor
MALAYSIA


Abstract: -

In the current power system planning and operation, a lot of concern has been shown in the security of the system and stability analysis. The load sharing or generation scheduling patterns have resulted in heavy flows which lead to greater losses; intimi ....etc

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An Optimal Wavelet Based Algorithm for Removal of Power Line Interferences in ECG Signals

Girisha Garg, Shorya Gupta, Vijander Singh, J.R.P. Gupta, A.P.Mittal


Abstract: An optimal denoising algorithm for ECG signals using Discrete Wavelet Transform is described. Statistical analysis is done to determine the best parameters by comparing different types of wavelet functions, decomposition level and threshold selection methods. The algorithm is used to improve the SNR of the ECG contaminated by disturbances ....etc

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Abstract

In this paper, we propose a multi objective optimization approach based on a micro genetic algorithm (micro-GA) which is a genetic algorithm with a very small population (four individuals were used in our experiment) and a reinitialization process. We use three forms of elitism and a memory to generate the initial population of the micro-GA. Our approach is tested with several standard functions found in the specialized literature. The results obtained are very encouraging, since they show that this simple approach can produce an impo ....etc

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my concern is that
so i would likt to get more information..
and i need to special ppt materia..

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Application of Genetic Algorithm to Economic Load Dispatch
ABSTRACT:
This paper presents an approach based on genetic algorithm to solve the economic load dispatch (ELD) problem with losses for three thermal plant systems. Genetic algorithms are adaptive search methods that simulate some of the natural processes: selection, information, inheritance, random mutation and population dynamics. This approach was tested for three thermal plant systems. The performance of Genetic Algorithm - intelligent approach (GAs) is compared ....etc

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