i have to give seminar on the topic-genetic engineering and its role in bioprocess engineering,as power point presentation,kindly send me the details of the topic which would make it easier to prepare it ....etc

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Parallelization of Genetic Algorithms and its Applications
Abstract:
The aim of this project is to take up several Genetic Algorithms, parallelize them and test on Multi cores. Analysis of speed up, associated problems and corresponding solutions need to be explored. ....etc

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plz send d matlab code for video segmentation and summarization using genetic algorithm
thanx ....etc

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BY:Kyaw Swar Win, Soe Win, Aung May Than



ABSTRACT

Field experiments were conducted in pre-monsoon and monsoon seasons, 2008 at Food Legumes Section, Department of Agricultural Research (DAR) to select the suitable lines for pre-monsoon and monsoon seasons, to estimate the genetic variability, heritability and genetic advance for yield and agronomic characters among the tested mungbean breeding lines and to study the association of yield and agronomic ch ....etc

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Dear sir,
i am currently working on the paper attached to this request.
Try to implement the attached paper.send the matlab code to me.
analysis notes to this paper also send to me.
solvation methods for this paper can be send to me.


thanking you sir.

Regards By
n.ajeeshvali ....etc

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Project Abstract:
Parallelization of Genetic Algorithms and their applications. The aim of this project is to take up several Genetic Algorithms, parallelize them and test on Multi cores ....etc

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1. INTRODUCTION

In this section we present genetic programming, being the fourth member of the evolutionary algorithm family. Besides the particular representation (using trees as chromosomes) it differs from other EA strands in its application area. While the EAs are typically applied to optimization problems, GP could be rather positioned in machine learning. In terms of nature of this deferent problem types, most other EAs are used for finding some input realizing maximum payoff, whereas GP is used to seek models with maximum fit. Clear ....etc

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Data Mining with Neural Networks and Genetic Algorithms
General Strategy
• Train Neural Network with representative data
• Use Genetic Algorithm to generate rule sets
• Evaluate performance of the rule sets
Training the Neural Network
• Only constraint on topology is that it must have the same number of inputs as categories (e.g., cap-shape, cap-surface, etc.) and the same number of outputs as classes (e.g., poisonous or edible)
• 3-layer perceptron appears to be model used for experiment with 7 ....etc

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Network Reconfiguration Using a Genetic Approach
for Loss and Reliability Optimization in Distribution Systems

Romeu M. V. Vitorino (1), Humberto M. M. Jorge (2) and Luís M. P. Neves (1)
(1) Polytechnic Institute of Leiria – School of Technology and Management, Portugal
Department of Electrical Engineering
(2) Faculty of Sciences and Technology of the University of Coimbra, Portugal
Department of Electrical Engineering and Computers
(1), (2) Institute for Systems and Computers Engineering of Coimbr ....etc

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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 u ....etc

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