Genetic Algorithm and its application to Big Data Analysis
نویسنده
چکیده
In this paper, I have described Genetic Algorithm for combinatorial data leading to establishment of mathematical modeling for Information Theory. The paper describes GA (Genetic Algorithm) in light of information theory and then derives Mathematical Framework covering but not limited to Big Data. This framework is a boon to any domain that has to harness data explosion like neurobiology, statistical inference, quantum computation, entropy management, encoding information theory (cryptography) etc. The efficiency calculated here describes incremental probabilistic approach to reach a solution which is highly stable, evolutionary and self adjusting henceforth invents a extremely new approach for computational analytics. Index Terms – Genetic Algorithm, Big Data, Evolution, Combinatorial Computation, RB Tree, Sigmoid, Convergence
منابع مشابه
Thermal-Economic Optimization of Shell and Tube Heat Exchanger by using a new Multi-Objective optimization method
Many studies are performed by researchers about Shell and Tube Heat Exchanger but the Multi-Objective Big Bang-Big Crunch algorithm (MOBBA) technique has never been used in such studies. This paper presents application of Thermal-Economic Multi-Objective Optimization of Shell and Tube Heat Exchanger Using MOBBA. For optimal design of a shell and tube heat exchanger, it was first thermally model...
متن کاملA full ranking method using integrated DEA models and its application to modify GA for finding Pareto optimal solution of MOP problem
This paper uses integrated Data Envelopment Analysis (DEA) models to rank all extreme and non-extreme efficient Decision Making Units (DMUs) and then applies integrated DEA ranking method as a criterion to modify Genetic Algorithm (GA) for finding Pareto optimal solutions of a Multi Objective Programming (MOP) problem. The researchers have used ranking method as a shortcut way to modify GA to d...
متن کاملIMPROVED BIG BANG-BIG CRUNCH ALGORITHM FOR OPTIMAL DIMENSIONAL DESIGN OF STRUCTURAL WALLS SYSTEM
Among the different lateral force resisting systems, shear walls are of appropriate stiffness and hence are extensively employed in the design of high-rise structures. The architectural concerns regarding the safety of these structures have further widened the application of coupled shear walls. The present study investigated the optimal dimensional design of coupled shear walls based on the im...
متن کاملApplication of artificial neural network and genetic algorithm to modelling the groundwater inflow to an advancing open pit mine
In this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. Novel hybrid method coupling artificial neural network (ANN) with genetic algorithm (GA) called ANN-GA, was utilised. Ratios of pit depth to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the hydraulic head (HH) in the observation w...
متن کاملImplementation of Random Forest Algorithm in Order to Use Big Data to Improve Real-Time Traffic Monitoring and Safety
Nowadays the active traffic management is enabled for better performance due to the nature of the real-time large data in transportation system. With the advancement of large data, monitoring and improving the traffic safety transformed into necessity in the form of actively and appropriately. Per-formance efficiency and traffic safety are considered as an im-portant element in measuring the pe...
متن کاملApplication of Genetic Algorithm in Development of Bankruptcy Predication Theory Case Study: Companies Listed on Tehran Stock Exchange
The bankruptcy prediction models have long been proposedas a key subject in finance. The present study, therefore, makes aneffort to examine the corporate bankruptcy prediction through employmentof the genetic algorithm model. Furthermore, it attempts to evaluatethe strategies to overcome the drawbacks of ordinary methods forbankruptcy prediction through application of genetic algorithms. Thesa...
متن کامل