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Implementing the proposed genetic algorithm approach

A Methodological Survey and Proposed Algorithm on Image Segmentation using Genetic Algorithm

A Methodological Survey and Proposed Algorithm on Image Segmentation using Genetic Algorithm

... Color image, Genetic algorithm, segmentation techniques, wrapper approach. 1. INTRODUCTION Image segmentation is the process of separating or grouping an image into different parts. There are ...

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A PROPOSED APPROACH FOR THE PREVENTION OF BLACK HOLE USING FINGER PRINT AUTHENTICATION AND GENETIC ALGORITHM OPTIMIZATION

A PROPOSED APPROACH FOR THE PREVENTION OF BLACK HOLE USING FINGER PRINT AUTHENTICATION AND GENETIC ALGORITHM OPTIMIZATION

... Figure 1. Black Hole Attack III. FINGERPRINT AUTHENTICATION The study of the fingerprints came into the moon light in the 18th century. Fingerprint matching is one of the oldest forms of the biometric technologies that ...

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A Genetic Algorithm Approach for Technology Characterization

A Genetic Algorithm Approach for Technology Characterization

... 7. DISCUSSION For the classical Pareto case, a comparison of NSGAII, RAND, and P3GA was performed using two test problems from the literature, i.e., ZDT1 and DTLZ2. For this comparison, RAND serves as a point of ...

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Compiler Optimization: A Genetic Algorithm Approach

Compiler Optimization: A Genetic Algorithm Approach

... a genetic algorithm to determine the combination of flags, that could be used, to generate efficient executable in terms of ...the genetic algorithm is the set of compiler flags that can be ...

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A Genetic Algorithm Approach for Diagnosability Analysis

A Genetic Algorithm Approach for Diagnosability Analysis

... Our approach is an efficient tool to solve the combinatorial problem behind of the determination of MTESs, given a structural model as a bipartite ...our approach carries out several studies in an automatic ...

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A Genetic Algorithm Approach to CPU Scheduling

A Genetic Algorithm Approach to CPU Scheduling

... while implementing it is first started with randomly generating the population of chromosomes, for this implementation population chosen is 50 only with each chromosome having length of 50 ...

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PREDICTIVE ANALYTICS IMPLEMENTING GENETIC ALGORITHM ON CLASS SCHEDULING SYSTEM

PREDICTIVE ANALYTICS IMPLEMENTING GENETIC ALGORITHM ON CLASS SCHEDULING SYSTEM

... Louie F. Agustin * , John Kevin A. Losito, Analyn R. Mendoza and Ashley T. Factoriza College of Computer Studies, Trimex Colleges, Biñan, Laguna, Philippines Abstract: Although still considered as an infant educational ...

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GENETIC ALGORITHM APPROACH FOR DEVNAGARI CHARACTER RECOGNITION

GENETIC ALGORITHM APPROACH FOR DEVNAGARI CHARACTER RECOGNITION

... techniques. Genetic algorithm is an unbiased optimization algorithm which makes parameter selection in an optimized way so as to obtain the global ...how genetic algorithm is applied ...

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Genetic Algorithm Approach for Controlling Nonlinear System

Genetic Algorithm Approach for Controlling Nonlinear System

... multi-model approach [1] is not new, but the idea of fuzzy modeling [2] using the concept of the fuzzy sets theory [3] offers a new technique to build multi-models of the process based on the input-output data or ...

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A Proposed Algorithm for Spam Filtering s by Hash Table Approach

A Proposed Algorithm for Spam Filtering s by Hash Table Approach

... an algorithm is proposed to classify emails and minimize spam using nearest Neighbor classifier ...This approach involves low computational load in relatively high rate relying on a Hash table as ...

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Comparison of Design optimization using Genetic Algorithm approach and DOE approach

Comparison of Design optimization using Genetic Algorithm approach and DOE approach

... the Genetic Algorithm and DOE approach of design of compressor ...GA approach an objective function is formed which is defined as sum of coefficient of friction,frictional power loss,maximum ...

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Data Center Resource Allocation: a Genetic Algorithm Approach.

Data Center Resource Allocation: a Genetic Algorithm Approach.

... 3 Genetic Algorithm 3.1 Introduction Genetic Algorithms (GAs) are stochastic search algorithms based on the mecha- nism of natural selection and natural ...

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A Genetic Algorithm Approach for Multiuser Scheduling on the LTE Downlink

A Genetic Algorithm Approach for Multiuser Scheduling on the LTE Downlink

... B. A Sub-Optimal Scheduler The complexity of joint optimal scheduling model, which requires the MCSs, SBs, and users to be jointly assigned, remains very high. As it is also very non-linear, one way to solve the problem ...

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New Approach to Bankruptcy Prediction using Genetic Algorithm

New Approach to Bankruptcy Prediction using Genetic Algorithm

... genetic algorithm. To do this and in order to design its related genetic model, the financial ratios have been used and a genetic model has been presented in order to predict bankruptcy of the ...

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Mining Comprehensible and Interesting Rules: A Genetic Algorithm Approach

Mining Comprehensible and Interesting Rules: A Genetic Algorithm Approach

... classification algorithm based on evolutionary approach that discovers comprehensible and interesting in CNF form in which along with conjunction in between various attributes there is disjunction among the ...

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1.
													An approach for retrieving an image using genetic algorithm

1. An approach for retrieving an image using genetic algorithm

... 3. PROPOSED SYSTEM Content based mostly image retrieval system typically provides a graphical computer program for retrieving data and human action with the ...

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Approach Using Genetic Algorithm for Intrusion
Detection System

Approach Using Genetic Algorithm for Intrusion Detection System

... been proposed to detect the attacks. In this paper we proposed the genetic algorithm to generate the rules with the help of network audit data and for selection of rules used fitness ...using ...

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Image Encryption: A New Approach Using Genetic Algorithm

Image Encryption: A New Approach Using Genetic Algorithm

... new approach has been applied for Image encryption using genetic ...In genetic algorithm Crossover operation assembles existing genes and mutation operation produces new ...

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A Hybrid Genetic Algorithm Approach for Optimal Power Flow

A Hybrid Genetic Algorithm Approach for Optimal Power Flow

... 2. Hybrid Genetic Algorithm GA works with a population of solutions instead of a single solution. As there is more than one string being processed simultaneously and used to update every string in the ...

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Personal income tax reforms: A genetic algorithm approach

Personal income tax reforms: A genetic algorithm approach

... a genetic algorithm for a tax system optimization, so that by observing the composition of the tax cut by income classes, we can ensure that our result is among the ‘best’ (by referring to the equivalent ...

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