genetic algorithm IEEE PAPER 2017





Monte Carlogenetic algorithm(MCGA) for model analysis of multiphase chemical kinetics to determine transport and reaction rate coefficients using multiple
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Abstract. We present a Monte Carlogenetic algorithm(MCGA) for efficient, automated, and unbiased global optimization of model input parameters by simultaneous fitting to multiple experimental data sets. Thealgorithmwas developed to address the inverse modelling

Traveling Salesman Problem UsingGenetic Algorithm : A Survey
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ABSTRACT Traveling Salesman Problem is a well-known NP-Complete problem in computer science. It has many application areas in science and engineering. It is an optimization problem. TSP can be solved using heuristic techniques such asgenetic

of seven stages supply chain management in electronic component inventory optimization for warehouse with economic load dispatch usinggenetic algorithm
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Abstract The purpose of the proposed study is to give a new dimension on warehouse with Economic Load Dispatch usinggenetic algorithmprocesses in Seven Stages-10 Member Supply Chain in Electronic component inventory optimization to describe the certain and

Optimal sizing and sitting of distributed generation using Particle Swarm Optimization GuidedGenetic Algorithm
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ABSTRACT This paper attempts to minimize losses and at the same time maintain acceptable voltage profiles in a radial distribution system. Distributed generation (DG) is a hot topic due to the ever increasing demands for electrical energy. Thus this paper optimally

Novel Approach Based onGenetic Algorithmfor Adaptive Resource Management in Software-Defined Networks
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Abstract: Resource management in Software-Defined Networking (SDN) is an important aspect in this brand new approach of networking. Implementing an efficient resource management with high Quality-of-Service (QoS) requirements like low delay or high

Intrusion Detection System for NSL-KDD Data Set using Vectorised Fitness Function inGenetic Algorithm
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Abstract With rapid increase in the use of network computers over last few decades, there has been increase in many different types of network attacks by intruders. To detect different network attacks,Genetic Algorithm(GA) based Intrusion Detection System (IDS) is employed

A parallelgenetic algorithmfor continuous and pattern-free heliostat field optimization
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Abstract The heliostat field of a solar power tower system, considering both its deployment cost and potential energy loss at operation, must be carefully designed. This procedure implies facing a complex continuous, constrained and large-scale optimization problem.

Comparison between Speed Control DC Motor UsingGenetic Algorithmand PSO-PIDAlgorithm
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ABSTRACT DC motor speed control in this papergenetic algorithmfed with PID controller and particle swarm optimization technique has been compared. The application of particle swarm optimization for adjusting the gains of proportional-integral-derivative (PID) controller

Generating Long-Term Trading System Rules Using aGenetic AlgorithmBased on Analyzing Historical Data
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Abstract In current times, trading success depends on choosing a correct strategy. Algorithmic trading is often based on technical analysis-an approach where the values of one or several technical indicators are translated into buy or sell signals. Thus, every traders

Operation Sequencing and Machining Parameter Selection in CAPP for Cylindrical Part using Hybrid Feature BasedGenetic Algorithmand Expert System
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Abstract-Computer-Aided Process Planning (CAPP) is an important interface between Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) in computerintegrated manufacturing environment. Process planning is concerned with the

Synthesis of copper oxide nanoparticle and photocatalytic dye degradation study using response surface methodology (RSM) andgenetic algorithm(GA)
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ABSTRACT The aim of our research was to study the ability of CuO nanoparticle which was synthesized for photocatalytic dye degradation of Direct Red 31 (DR31), Reactive Red 194 (RR194) and Reactive Red 120 (RR120) and to apply response surface methodology

Hybridizing Teaching Learning Based Optimization withGenetic Algorithmfor Colour Image Segmentation
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Abstract Color Image segmentation is a challenging low level image analysis task, which has varied engineering and industrial applications. Clustering based image segmentation algorithms group the color and texture features of the image into different clusters. The

MULTI-OBJECTIVE SCHEDULING SIMULATION OF FLEXIBLE JOB-SHOP BASED ON MULTI-POPULATIONGENETIC ALGORITHM .
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Abstract In view of the difficulty of obtaining the optimal solution to the multi-objective scheduling of flexible job-shop by the generalgenetic algorithm , this paper takes into account the shortest processing time and the balanced use of machines, and puts forward

RESEARCH ON INDUSTRIAL ASSEMBLY LINE BALANCING OPTIMIZATION BASED ONGENETIC ALGORITHMAND WITNESS SIMULATION.
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Abstract With the rapid development of the industry sector, the assembly line has also experienced development, whose rationality determines the production efficiency of industrial production. In this paper, in order to address the balancing issue of assembly lines

Automatic Generation Control in Deregulated Power System UsingGenetic AlgorithmOptimized Fuzzy Controller
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Abstract: This work addresses the control of load frequency where the chosen arena is the two area thermal-thermal power systems dealt under deregulated field. Tuning of the fuzzy logic controller is based ongenetic algorithm . Graded AC tie-lines are used to relate the

Review on QoS and Security of Database System usingGenetic Algorithm
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ABSTRACT Both network security and quality of service (QoS) used up computational reference connected with IT procedure thereby could unsurprisingly influence the application form services. When it comes to confined computational reference, it is essential

EGAC: AGenetic Algorithmto Compare Chemical Reaction Networks
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A popular model in many natural sciences, chemical reaction networks (CRNs) have become popular in computer science in light of the convergence between computational processes and molecular systems [23]. In this paper we study the problem of comparing

QSAR Study of 17β-HSD3 Inhibitors byGenetic Algorithm -Support Vector Machine as a Target Receptor for the Treatment of Prostate Cancer
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The 17β-HSD3 enzyme plays a key role in treatment of prostate cancer and small inhibitors can be used to efficiently target it. In the present study, the multiple linear regression (MLR), and support vector machine (SVM) methods were used to interpret the chemical structural functionality against

A New Method to Solve the Multi Traveling Salesman Problem with the Combination ofGenetic Algorithmand Clustering
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Abstract The multi traveling salesman problem is the extension of the well-known problem of traveling salesman and considered as a NP-Complete problem having exponential solution space. MTSP is more complicated than TSP, because in MTSP first the cities must be

Design and Development of the NovelGenetic AlgorithmFramework for Chronic Kidney Disorder Classification
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ABSTRACT Chronic Kidney Disorder (CKD) is a progressive loss of the renal functions. Classifying the disease with features such as blood pressure, albumin, sugar helps in diagnosing the disease. Machine learning helps in getting accuracy for the classification

Genetic Algorithmfor Flood Detection and Evacuation Route Planning
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ABSTRACT Agenetic -typealgorithmis presented that uses satellite geospatial data to determine the most probable path to safety for individuals in a disaster area, where a traditional routing system cannot be used. Thealgorithmuses geological features and

Optimization of a Skew Parametric Resonance Ionization Cooling Channel UsingGenetic Algorithm
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Abstract Skew Parametric-resonance Ionization Cooling (Skew PIC) is designed for the final 6D cooling of a high-luminosity muon collider. Tracking of muons in such a channel has been modeled in MADX and matter-dominated simulation tool G4beanline in previous

A Global Optimisation of a Switched Inertance Hydraulic System based onGenetic Algorithm
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Abstract The switched inertance hydraulic system (SIHS) is a novel high-bandwidth and energy-efficient device which can adjust or control flow and pressure by a means that does not rely on throttling the flow and dissipation of power. The three-port SIHS usually consists

Genetic algorithmoptimization and robustness analysis for the computer aided design of fixture systems in automotive manufacturing
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Abstract: Fixture Systems (FSs) have great importance in machining, welding, assembly, measuring, testing and other manufacturing processes. One of the most critical issue in FS design is the choice of both the type of fixing devices such as clamps, locators, and support

A new Heuristic Method RPW Method andGenetic algorithmtechniques (hybrid method) For Evaluating Multi Product Assembly Line Balancing A Case Study
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Abstract Assembly line production is one of the widely used production systems. The problem of Assembly Line Balancing deals with the distribution of activities among the workstations which lead to the maximum utilization of Human Resources and facilities

Missing Data Imputation usingGenetic Algorithmfor Supervised Learning
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Abstract Data is an important asset for any organization to successfully run its business. When we collect data, it contains data with low qualities such as noise, incomplete, missing values etc. If the quality of data is low then mining results of any data miningalgorithmwill

Inventory Control in Ice and Cold Storage Management usingGenetic Algorithm
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ABSTRACT The objective of this paper is to resolve the inventory control problem since. Because inventory management is avery huge problem for multi-level products in present times,Genetic Algorithm(GA) is for optimizing a problem of multiproduct in multi-level

Optimisation of Refrigeration System with Two-Stage and Intercooler Using Fuzzy Logic andGenetic Algorithm
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Abstract Two-stage compression operation prevents excessive compressor outlet pressure and temperature and this operation provides more efficient working condition in low temperature refrigeration applications. Vapor compression refrigeration system with two-

Anomaly based Intrusion Detection System usingGenetic Algorithmand K-Centroid Clustering
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ABSTRACT Internet is being expanded because of the enhancement of todays networks and with these expansion different types of unauthorized activities building up to make the network vulnerable. Many researchers are working around the world to protect the systems

Forging pre-form dies optimization using artificial neural networks and continuousgenetic algorithm
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ABSTRACT In forging process of complex parts, the raw material cannot be transformed in one forging stage to the final shape; therefore, using one or several pre-form dies would be necessary. An optimal pre-form die should be capable of meeting several design criterias.

Temperature Control of a Non-Linear Process usingGenetic Algorithm
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Abstract Even though traditional controllers are used in chemical industries, automatic soft computing based controllers provides efficient and fine tuning of non-linear process parameters. The main objective of this research work is to control and maintain the

Optimal Design of Opening Ventilation Shaft by Kriging Metamodel Assisted Multi-objectiveGenetic Algorithm
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Abstract Ventilation shaft designs are the most effective devices used for ventilating underground shelter. A Kriging Metamodel assisted Multi-ObjectiveGenetic Algorithm (MOGA) was utilised for the evaluation of an optimal design for the opening ventilation shaft,

Research into Radar Net Anti-interference Strategy Based on ImprovedGenetic Algorithm
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On the informatization battlefield, as the electronic combat becomes the guide and runs through the war from beginning to end, it is especially important for the radar to possess the ability of anti-interference. Particularly in the complicated electromagnetism environment,

Derivative Based HybridGenetic Algorithm : A Preliminary Experimental Results
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Abstract. Global Optimization has become an important branch of mathematical analysis and numerical analysis in the recent years. Practical example of the optimization problems including the design and optimization of electrical circuit in electrical engineering, object

Using Bacterial ForagingAlgorithmto Design Optimal Power System Stabilizer and Comparisons withGenetic Algorithmand Particle Swarm Optimization
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Abstract. The Bacterial Foraging (BF) is a global optimizationalgorithmthat imitates the foraging behavior of Escherichia coli (E. coli) bacteria. Foraging habit of individuals and groups of E. coli bacteria for nutrients is modeled as a distributed optimization process. This

Power System Stability Enhancement Using Optimal Placement of TCSC viaGenetic Algorithm
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ABSTRACT-This paper presents an approach to find the optimal location of thyristor controlled series compensators (TCSC) in a power system to improve the loadability of its lines and minimize its total loss. Also the proposed approach aims to find the optimal

Mining Big Data usingGenetic Algorithm
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Abstract In todays era, the amount of data available in the world is growing at a very rapid pace day by day because of the use of internet, smart phones, social networks, etc. This collection of large and complex data sets is referred to as Big Data. Primitive database

Analytical Solution for the Time-Dependent Emden-Fowler Type of Equations by Homotopy Analysis Method withGenetic Algorithm
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Abstract In this paper, Homotopy Analysis method withGenetic Algorithmis presented and used to obtain an analytical solution for the time-dependent Emden-Fowler type of equations and wave-type equation with singular behavior at x= 0. The advantage of this single global

Agenetic algorithmfor independent job scheduling in grid computing
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Abstract: Grid computing refers to the infrastructure which connects geographically distributed computers owned by various organizations allowing their resources, such as computational power and storage capabilities, to be shared, selected, and aggregated. Job

A Pseudo- Genetic Algorithmfor Optimising Test Cases
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AbstractGeneticAlgorithms have been widely used to generate test cases by automatically searching a space for suitable solutions to a search problem. In this paper, we intend to produce a set of test cases that effectively find faults in a web application from an

Generating Epsilon-Efficient Solutions in Multiobjective Optimization byGenetic Algorithm
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Abstract We develop a new evolutionary method of generating epsilon-efficient solutions of a continuous multiobjective programming problem. This is achieved by discretizing the problem and then using agenetic algorithmwith some derived probabilistic stopping criteria

Solutions of Singular IVPs of Lane-Emden type by Homotopy analysis method withGenetic Algorithm
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Abstract: In this paper, Homotopy Analysis Method withGenetic Algorithmis presented and used for solving Lane-Emden type singular initial value problems. The method is demonstrated for a variety of problems where approximate-exact solutions are obtained. The

SUPPORT VECTOR MACHINE COMBINED WITHGENETIC ALGORITHMFOR OPTIMIZATION OF MICROWAVE-ASSISTED EXTRACTION OF
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We investigated a simple and rapid microwave-assisted extraction (MAE) procedure that was optimized for extraction of polyphenols from spruce wood bark. Important variables that can potentially affect the extraction efficiency, namely temperature, ethanol concentration

Genetic AlgorithmBased Model for Early Detection of Cancer
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Cancers are a large everyday of diseases that involve uncharacteristic cell growth with the potential to spread to other parts of the body. A cancer syndrome in any of its forms represents a major cause of death universal. In cancer diagnosis, classification of different

Optimal operating condition for a type parabolic trough collector with low-cost components using inverse neural network and solved bygenetic algorithm
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Presented at the EDS conference on Desalination for the Environment: Clean Water and Energy, Rome, Italy, 22 26 May 2016. *Corresponding author. Desalination and Water Treatment www.deswater.com Optimal operating condition for a type parabolic trough collector with

Modulation Components andGenetic Algorithmfor Speaker Recognition System
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Abstract In this paper, the aim is to investigate weather or not that changing the filter-bank components (of the speaker recognition system) could improve the system performance in identifying the speaker. The filter is composed of 30 Gamatone filter channels. First, the

Formulation of the Greens Functions for Coplanar Waveguide Microwave Devices asGenetic Algorithm -Based Complex Images
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Abstract A new Complex Image Method based onGenetic Algorithm(GA) is proposed to calculate the Greens functions of CPW (coplanar waveguide)-type microwave components and antennas. The closed-forms of the spectral-domain integrals are obtained by the GA,

Dimensional Synthesis of Mechanism usingGenetic Algorithm
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Abstract Dimensional synthesis is systematic method for synthesis of mechanism. In this paper the GA is used for the dimensional synthesis to achieve a desired trajectory of coupler point.Genetic algorithmis optimization technique based on Natural Evolution Theory. It is

A Literature Survey on Automation of test data generation for Branch coverage testing usinggenetic Algorithm
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Abstract Test data generation plays an important role in the field of software testing. Earlier test data used to generate manually which was very time consuming and complex. Then random test data generation approach was used. However, it was not much successful and

Optimizing Dynamic Flexible Job Shop Scheduling Problem Based onGenetic Algorithm
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Abstract Scheduling the flexible job shop in the dynamic environment, in which arriving new job, the breakdown of machines and processing time variation are possible, is the most complex problem in the manufacturing system until now. Agenetic algorithm(GA) was

Improving estimation accuracy of metallurgical performance of industrial flotation process by using hybridgenetic algorithmartificial neural network (GA-ANN)
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Abstract: In this study, a back propagation feed forward neural network, with two hidden layers (10: 10: 10: 4), was applied to predict Cu grade and recovery in industrial flotation plant based on pH, chemical reagents dosage, size percentage of feed passing 75 µm, This book gives an introduction to concepts and ideas ofGeneticAlgorithms. Before it begins, it is reasonable to clarify, what kinds of problems are solved withGeneticAlgorithms. The answer is simple and short: optimization problems. Optimization is the task of finding

HybridGenetic Algorithmin the Hopfield Network for Logic Satisfiability Problem.
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ABSTRACT In this study, a hybrid approach that employs Hopfield neural network and a genetic algorithmin doing k-SAT problems was proposed. The Hopfield neural network was used to minimise logical inconsistency in interpreting logic clauses or programme. Hybrid

An ImprovedGenetic Algorithmfor Flight Path Re-Routes with Reduced Passenger Impact
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Abstract Adverse weather has serious implications for flight timeliness, as well as passenger and aircraft safety. This often implies that alternative flight paths have to be used by aircraft to avoid adverse weather. To reduce the impact of such path re-routes, exact techniques

Modeling of Resource-Driven Scheduling in High-Rise Buildings usingGenetic Algorithm
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Abstract: Construction industry often faces projects having repetitive activities and they are known to be repetitive projects. Repetitive projects like high-rise buildings require construction management schedules for effectively carrying out an activity in one floor to a

Combining a HMM with aGenetic Algorithmfor the Fault Diagnosis of Photovoltaic Inverters
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Abstract The traditional fault diagnosis method for photovoltaic (PV) inverters has had a difficult time meeting the requirements of the current complex systems. The main weakness lies in the study of nonlinear systems, but the diagnosis time is also long, and the accuracy is

Parameter Optimization in Wave Energy Design by aGenetic Algorithm
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The method was then modified and applied to optimization of the spatial layout of a wave power array of identical devices, that interact hydrodynamically by scattered and radiated waves. The resulting optimal park layouts avoid destructive interactions and get a q-factor

Load Balancing in Cloud Using EnhancedGenetic Algorithm
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Abstract: The cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial implementation of these computer science concepts. One of the fundamental issues in this environment is related to

Genetic Algorithmfor Grammar Induction and Rules Verification through a PDA Simulator
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The focus of this paper is towards developing a grammatical inference system uses a genetic algorithm(GA), has a powerful global exploration capability that can exploit the optimum offspring. The implemented system runs in two phases: first, generation of grammar

Design of Fading Channel Simulator Based on IIR Filter UsingGenetic Algorithm
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Abstract This article designs a Rayleigh fading channel simulator using IIR filter (called Doppler filter), which is used to approximate the Jakes Doppler spectrum. We mainly focus on the design of Doppler filter and model it as an optimization problem. Non-convexity of the

Optimized multi-focus image fusion usinggenetic algorithm
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Optical imaging systems or cameras have a convex lens with limited depth of field. So, multifocus images are obtained when such systems are used to capture an image of a particular scene. These images are fused to get all-in-focus image. This paper proposes a

Optimization of Light Switching Pattern on Large Scale usingGenetic Algorithm
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AbstractGenetic Algorithm(GA) is an optimization technique that is based on the principle of natural evolution. It performs efficient search in global spaces to get an optimal solution. Optimization is carried out through natural exchange ofgeneticmaterial between parents.

Combination ofGenetic Algorithmwith Dynamic Programming for Solving TSP.
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Abstract This paper presents a combination ofGenetic Algorithm(GA) with Dynamic Programming (DP) to solve the well-known Travelling Salesman Problem (TSP). In this work, DP is integrated as a GA operator with a certain probability. In specific, at a given GA

Nonlinear Identification of Electronic Brake Pedal Behavior Using Hybrid GMDH andGenetic Algorithmin Brake-By-Wire System
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Abstract In this paper, we represent a nonlinear identification of electronic brake pedal behavior in the brake-by-wire (BBW) system based on hybrid group method of data handling (GMDH) andgenetic algorithm(GA). A GMDH is a kind of multi-layer network with a structure

Analysis of Particle Swarm Optimization andGenetic Algorithmbased on Task Scheduling in Cloud Computing Environment
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Abstract Since the beginning of cloud computing technology, task scheduling problem has never been an easy work. Because of its NP-complete problem nature, a large number of task scheduling techniques have been suggested by different researchers to solve this

Development of an EfficientGenetic Algorithmfor the Time Dependent Vehicle Routing Problem with Time Windows
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Abstract This research considers the time-dependent vehicle routing problem (TDVRP). The time-dependent VRP does not assume constant speeds of the vehicles. The speeds of the vehicles vary during the various times of the day, based on the traffic conditions. During the

Is Parameters Quantification inGenetic AlgorithmImportant, How to do it?
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The termappropriate parameterssignifies the correct choice of values has considerable effect on the performance that directs the search process towards the global optima. The performance typically is measured considering both quality of the results obtained and time

VAWT Optimization UsingGenetic Algorithmand CST Airfoil Parameterization
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Darrieus type vertical axis wind turbine (VAWT) is optimized using thegenetic algorithm (GA). The airfoil shape is parameterized using the Class-Shape Transformation (CST) method. The double multiple stream tube (DMST) method with the Gormont dynamic stall

GENETIC ALGORITHMAPPROACH TO OPTIMIZE A DOUBLE-EFFECT ABSORPTION CHILLER WITH PARABOLIC TROUGH SOLAR COLLECTOR IN
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According to energy consumption in energy systems specially cooling systems, the need of optimization and proper design of these systems is undeniable. Building facilities are considered as a heart of a building, therefore, choosing and designing the equipment of

Agenetic algorithmbased entity resolution approach with active learning.
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Abstract Entity resolution is a key aspect in data quality and data integration, identifying which records correspond to the same real world entity in data sources. Many existing approaches require manually designed match rules to solve the problem, which always

Peer-to-Peer Data Sharing and Deduplication usingGenetic Algorithm
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ABSTRACT: To form corporate network organization simply join using register their sites with the peer-to-peer (P2P) service provider, and share their information among the participating organization. It can effectively help the organization to reduce their operational

Dynamic Virtual Machine Allocation Based on AdaptiveGenetic Algorithm
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Abstract The widespread use of the virtualization paradigm in modern data centers has increased the necessity of improving the management efficiency of virtual machine allocation on physical machines (PM). Modern service providers offer a large number of

Dynamicgenetic algorithm -based feature selection and incomplete value imputation for microarray classification
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Large microarray datasets usually contain many features with missing values. Inferences made from such incomplete datasets may be biased. To address this issue, we propose a novel preprocessing method called dynamicgenetic algorithm -based feature selection with

A Novel Web-Page Clustering Method Using K-Means Improved with Cellular Learning Automata AndGenetic Algorithm
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Summary Improvement of accuracy and optimal function of search engines has always been an area of concern for designers and researchers. Although these search engines work relatively well in simple searches, because the most existing search algorithms are based

Design of Hybridized Wireless Sensor Network using K-Means Clustering andGenetic Algorithm
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ABSTRACT Prolonging the network lifetime in wireless sensor networks (WSNs), Clustering has been recognized has one of the significant methods in achieving this, It entails grouping of sensor nodes into clusters and electing cluster heads (CHs) for all the clusters. CHs

AGenetic Algorithmfor Solving a Container Storage Problem Using a Residence Time Strategy
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Abstract: At each port of destination, some containers are unloaded from a vessel and stored in the terminal to be delivered to their customers. One of the strategies used to arrange the containers in a terminal is residence time strategy: based on their delivery deadlines, each

Parallel Text Document Clustering Based onGenetic Algorithm
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Abstract. This work describes parallel implementation of the text document clustering algorithm . Thealgorithmis based on evaluation of the similarity between objects in a competitive situation, which leads to the notion of the function of rival similarity. Attributes of

Optimization of Hybrid Vehicle Drivetrain withGenetic Algorithmusing Matlab and Advisor.
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Abstract Advantages of hybrid vehicles over pure electric vehicles are obvious and well known. The paper presents a simulation study of the optimization of hybrid propulsion drivetrain. A vehicle model was optimized in order to scale drivetrain components to achieve

A Clustering-based Visual Analysis Tool forGenetic Algorithm .
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Abstract: WhileGenetic Algorithm(GA) is a powerful tool for combinatorial optimization, the vast population of candidate solutions it typically deploys andalgorithmsintrinsic randomness lead to difficulty in understanding its search behavior. We discuss in this paper

Web Security: Detection of Cross Site Scripting in PHP Web Application usingGenetic Algorithm
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Abstract Cross site scripting (XSS) is one of the major threats to the web application security, where the research is still underway for an effective and useful way to analyse the source code of web application and removes this threat. XSS occurs by injecting the planing boats and is considered an important element in the design of planing boats. Trim tabs are placed at the transom to give better trim angle in order to diminish the resistance. In

Image Retrieval Based on Tuned Color Gabor Filter UsingGenetic Algorithm
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Abstract In the past few years, there is much technical advancement in the research area of image retrieval, in particular Query by Image Content (QBIC) system. It has become indispensable to provide competent and effective method to retrieve images from the large

Credit Card Fraud Detection System: UsingGenetic Algorithm
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ABSTRACT As we know that with the increase in the use of credit card for purchasing the products online is increasing, so is the fraud related to it is also increasing. Numbers of Fraud transactions are also increasing day by day not only online but also off line as well. At

FPGA IMPLEMENTATION OF HIGH SPEED MEDICAL IMAGE SEGMENTATION USINGGENETIC ALGORITHM .
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ABSTRACT Nowadays, image analysis plays a key role in processing of the medical images such as retinal image, cardiac image and brain MRI images in bio-medical field. Medical Image Segmentation (MIS) is a process of obtaining the different intensity levels of the image

TEACHER-LEARNERMULTI-OBJECTIVEGENETIC ALGORITHMBASED QUERY OPTIMIZATION APPROACH FOR HETEROGENEOUS DISTRIBUTED
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ABSTRACT Growing database demands more technological developments and computing paradigms, as Grid and Cloud computing, unleashed new developments in the database technology sector. Query Optimization is essentially a complex search task to obtain the best

METHOD OF OBTAINING REPRESENTATIVE DATA SCHEME FOR DE-DUPLICATION USING FUZZY CLUSTERING ANDGENETIC ALGORITHM .
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ABSTRACT Record De-duplication is the important task under merging different database records. We can provide tuning results to the users after implementation of de-duplication operation. Existing approaches are failing under tuning of web databases and removal of

Optimization of Biodiesel Production from Mixed Jatropha curcas Ceiba pentandra Using Artificial Neural Network- Genetic Algorithm : Evaluation of Reaction
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Biodiesel production from non-edible vegetable oil is one effective way to anticipate the problems associated with fuel crisis and environmental issues. In this study, artificial neural network andgenetic algorithmbased Box Behnken experimental design used to optimize

Application ofGenetic Algorithmin Optical Character Recognition Techniques
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Abstract Optical Character recognition is major technique in Image Processing fields which has various application in obtaining more clear character in the field of Medical, Industrial processes as well as Domestic. In this technology scanned, Handwritten, printed or

Power System Performance Improvement by Optimal Placement and Sizing of SVC usingGenetic Algorithm
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The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of Flexible AC Transmission System

ApplyingGenetic Algorithmin Architecture and Neural Network Training
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Abstract The structure of Artificial Neural Network with ANN symbol is not a predefined program. Therefore, architecture and proper training of ANN have significant effect on the results. ANN architecture of consists determination of a number of optimal neurons in hidden

GASA: Presentation of an Initiative Method Based onGenetic Algorithmfor Task Scheduling in the Cloud Environment
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Abstract The need for calculating actions has been emerged everywhere and in any time, by advancing of information technology. Cloud computing is the latest response to such needs. Prominent popularity has recently been created for Cloud computing systems. Increasing

A Review ofGenetic Algorithmused for optimizing scheduling of Resource Constraint construction projects
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Abstract-Optimizing construction project scheduling has received a considerable amount of attention over the past twenty years. Planning and scheduling is important role in construction projects because of the increasing complexities in this field. Construction

AGenetic AlgorithmFor Graph Matching Using Node Characteristics
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Abstract: Graph Matching or graph isomorphism checking is a popular problem in graph theory and has varied applications. Many approximate and exact solutions have been proposed for the different variants of the graph matching problem. In this paper a new two

Review on NovelGenetic Algorithmfor Association Rule Mining with Multi-Objective Extraction
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Abstract Nowadays, the advancement in the technology has led to the enormous growth of data generated in the digital form. This leads to the situation where to extract interesting and useful knowledge from this vast amount of data becomes an attractive and challenging task.

TheGenetic Algorithm . the Island Model ofGeneticAlgorithm
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Thegenetic algorithm(GA) is an evolutionary searchalgorithmwhich is used for solving optimization problems. GA is based on Ch. Darwins principles of natural selection. GA is a stochastic method. These algorithms are successfully applied in various fields (economics,

COMPARATIVE ANALYSIS OF FINGERPRINT RECOGNITION USING NEURAL NETWORK ANDGENETIC ALGORITHM
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ABSTRACT Fingerprint recognition have become one of the most popular biometric systems used in many applications, including law enforcement, border control, and forensics. The most common used biometric parameters are signature, fingerprints, face, keystroke and iris.

AGeneticProgramming basedAlgorithmfor Predicting Exchanges in Electronic Trade using Social Networks Data
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Abstract Purpose of this paper is to use Facebook dataset for predicting Exchanges in Electronic business. For this purpose, first a dataset is collected from Facebook users and this dataset is divided into two training and test datasets. First, an advertisement post is sent CSE PROJECTS

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