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Created at: Wednesday 17th of October 2012 03:15:57 AM
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Title: genetic algorithms relay coordination matlab code
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Title: Parallelization of Genetic Algorithms and their applications
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Posted By: seminars
Created at: Sunday 09th of May 2010 03:07:08 PM
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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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Title: Parallelization of Genetic Algorithms and its Applications
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Posted By: project topics
Created at: Saturday 10th of April 2010 03:50:48 PM
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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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Title: Data Mining with Neural Networks and Genetic Algorithms
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Posted By: seminar class
Created at: Tuesday 01st of March 2011 12:50:48 PM
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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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Title: Genetic Algorithms
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Posted By: smart paper boy
Created at: Thursday 28th of July 2011 12:39:57 PM
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Genetic Algorithms
And other approaches for similar applications
Optimization Techniques
Mathematical Programming
Network Analysis
Branch & Bound
Genetic Algorithm
Simulated Annealing
Tabu Search
Genetic Algorithm
Based on Darwinian Paradigm
Intrinsically a robust search and optimization mechanism
Conceptual Algorithm
Genetic Algorithm Introduction 1
Inspired by natural evolution
Population of individuals
Individual is feasible solution to problem
Each individual is characterized by a Fitnes ....etc

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Title: Genetic Algorithms DETAILS
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Posted By: seminar addict
Created at: Thursday 26th of January 2012 03:46:48 PM
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Genetic Algorithms


INTRODUCTION
A genetic algorithm (GA) is a procedure used to find approximate solutions to
search problems through application of the principles of evolutionary biology. Genetic
algorithms use biologically inspired techniques such as genetic inheritance, natural
selection, mutation, and sexual reproduction (recombination, or crossover). Along with
genetic programming (GP), they are one of the main classes of genetic and evolu ....etc

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Title: STUDY OF SCHEDULING ALGORITHMS AND THEIR IMPLEMENTATION IN LINUX
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Posted By: nit_cal
Created at: Saturday 31st of October 2009 06:45:45 PM
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STUDY OF SCHEDULING ALGORITHMS AND THEIR IMPLEMENTATION IN LINUX ....etc

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Title: An Overview of Genetic Algorithms Part 1 Fundamentals
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Posted By: seminar addict
Created at: Wednesday 25th of January 2012 03:11:38 PM
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An Overview of Genetic Algorithms  Part 1 , Fundamentals


Introduction
Genetic Algorithms GAs are adaptive methods which may be used to solve search and optimisation problems
They are based on the genetic processes of biological organisms Over many generations natural populations
evolve according to the principles of natural selection and survival of the ttest rst clearly stated by Charles
Darwin in The Origin of Species By mimicking this proc ....etc

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Title: Neural Networks And Their Applications
Page Link: Neural Networks And Their Applications -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:28:39 PM
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Definition
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, thr ....etc

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