Malware Detection based on Dependency Graph using Hybrid Genetic Algorithm
B.Tech Seminar report
by
Jishnu V
Department of Computer Science And Engineering
Government Engineering College, Thrissur
December 2010



Abstract
Computer malwares are becoming a serious threat to our data and information stored
in our computers. Among them, scripted malwares are gaining popularity since script-
ing is supported by a wide range of programs. So their detection and preve ....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 (GO ....etc

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In this paper, fuzzy logic control is put forward in a parallel hybrid hydraulic excavator for the purposes ofbetter energy distribution and higher fuel economy. A mathematical model of parallel hybrid hydraulicexcavator is presented in detail, and the parameters of components and overall system are listed andanalyzed. The fuzzy logic controller is then designed to cope with energy distribution and management. Toachieve better equivalent fuel consumption, genetic algorithm is implemented to fine-tune the membershipfunctions. The control effects ....etc

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Optimizing design of spring using genetic algorithm

Abstract:
This paper deals with the elaborate designed optimization technique
of coil spring sets. Attention is focused reducing the weight and
stresses are calculated keeping in to considerations the various
critical points. Graphical optimization the various critical points
graphical optimization technique is used for non-linear programming
.Maximum endurance shear stresses spring constant etc.. are taken as
the objective function also we have mainly ....etc

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NATURAL LANGUAGE GRAMMAR INDUCTION USING PARALLEL GENETIC ALGORITHM
Presented By:
Hari Mohan Pandey
Department of Computer Engineering
MPSTME, NMIMS University, Mumbai
Under the Guidance of
Prof. Dr. N.S. Choubey

ABSTRACT
As we all are aware that there are only two ways one can use for communication first is oral and the second one is written. Natural Language processing is the area where we deal with both the approach of communication. For oral, natural language processing support the area called as Speech Processing. In th ....etc

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developing an algorithm for data mining using clustering genetic algorithm at c++



With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and ....etc

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Adaptive Hybrid Genetic Algorithm for Technical Loss Reduction in Distribution Networks Under Variable Demands
Abstract
In power distribution networks the load varies withinany given time frame. It may, therefore, seem that a good approachto reduce losses would be the solving of a network reconfigurationproblem to suit each of the significant load variations. However,frequent changes in configuration can trigger outages or causetransient problems; they are best avoided. A recent formulationof this problem explicitly considers load var ....etc

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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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