genetic algorithm IEEE PAPER 2018
Minimizing the cost of two-tier cellular network with queuing handoff calls in microcell using genetic algorithm
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ABSTRACT Call dropping probability is less desirable rather than call blocking probability for modeling of two tier cellular network design. To reduce call dropping probability queuing for handoff calls in microcell may be the one solution. Determining number of cells in each tier
Prediction of surface roughness in the ball-end milling process using response surface methodology, genetic algorithms, and grey wolf optimizer algorithm
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The primary objective of machining operations modeling is developing a predictive capability for machining performance in order to facilitate effective planning of machining operations to achieve optimum productivity, quality, and cost. Modeling of output
An imporosity message scheduling based on modified genetic algorithm for time-triggered ethernet
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Dear editor, In time-triggered Ethernet (TTEthernet), there are three kinds of messages which are timetriggered (TT), rate-constrained (RC) and besteffort (BE) messages. In general, TTEthernet scheduling can be considered to be a multiresources scheduling, which
Solving the Rubiks Cube using Simulated Annealing and Genetic Algorithm
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ABSTRACT The Rubiks cube is 3D puzzle with 6 different colored faces. The classis puzzle is a 3x3x3 cube with 43 quintillion possible permutations having a complexity of NP-Hard. In this paper, new metaheuristic approaches based on Simulated Annealing (SA) and Genetic
Genetic Algorithm and Fuzzy Logic Based Flexible Querying in Databases
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ABSTRACT : Databases are very important sources for storing huge size of data. Today, yearly produced information is expressed as multiple size of the amount that produced before. Retrieving correct data is as important as storing it. At this point, querying becomes more
Brain Tumor Detection Using Genetic Algorithm
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ABSTRACT Detection of brain tumor is very common fatality in current scenario of health care society. Image segmentation is used to extract the abnormal tumor portion in brain. Brain tumor is an abnormal mass of tissue in which cells grow and multiply uncontrollably
APPLICATION AND DYNAMIC SIMULATION OF IMPROVED GENETIC ALGORITHM IN PRODUCTION WORKSHOP SCHEDULING.
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ABSTRACT From the point of view of combining theories with practice, in order to better realize the effective management of production workshop scheduling and thus improve the competitiveness of manufacturing enterprises in the market, this study focuses on the
Genetic Algorithm for Planted Motif Search (I, d) with Iteration on Average Value
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ABSTRACT : Analysis of motif in DNA sequences are growing into a significant context in the domain of gene regulation and in the same way, identification of motif is a most crucial issue in the study of computational biology. This study addresses the issues of motif search in
Stability Study of LQR and Pole-Placement Genetic Algorithm Synthesized Input-Output Feedback Linearization Controllers for a Rotary Inverted Pendulum
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ABSTRACT The rotary inverted pendulum (RIP) has a fourth order nonlinear dynamics, and its control is typically with two stages, ie, a swing-up control and a balancing control. For Linear- quadratic regulator (LQR) control, under large disturbances, the RIP stability may be lost
Comparison of Response Surface Methodology and Genetic Algorithm in Parameter Optimization of Laser Welding Process
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ABSTRACT : This paper presents the comparative studies between Response Surface Methodology (RSM) and Genetic Algorithm (GA) in parameter optimization of laser welding process. Bead-on-plate weld was carried out on low carbon steel plate using diffusion
Design of Optimal Linear Quadratic Gaussian (LQG) Controller for Load Frequency Control (LFC) using Genetic Algorithm (GA) in Power System
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ABSTRACT Nowadays power demand is increasing continuously and the biggest challenge for the power system is to provide good quality of power to the consumer under changing load conditions. When real power changes, system frequency gets affected while reactive
Hybrid Genetic Algorithm and African Buffalo Optimization (HGAABO) Based Scheduling in ZigBee Network
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ABSTRACT In Wireless sensor network (WSNs) unstable battery consumption is a major challenge to overcome these sensors should be active for a preferred duration so the networks lifetime should be essentially prolonged with less power consumption. While
Fuzzy C-Means Fitness Function of Genetic Algorithm to Extract Brain Tumor from MR Images
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ABSTRACT The Fitness function in GA ( Genetic Algorithm ) based FCM (Fuzzy C-Means) clump and Morphological operation is used to extract tumor from MRI. Computer simulations offer a substantial improvement over the existing techniques. Tumor is an abnormal growth of cells
Upgrading the Performance of KNN and Naïve Bayes in Diabetes Detection with Genetic Algorithm for Feature Selection
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ABSTRACT Data mining is a science that is used for finding models and association rules in huge data where other statistical analysis cannot do that. The medical science needs data mining for analyzing massive data and producing predictive models. The purpose of this
Time Effective Workflow Scheduling using Genetic Algorithm in Cloud Computing
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ABSTRACT Cloud computing is service based technology on internet which facilitates users to access plenty of resources on demand from anywhere and anytime in a metered manner ie pay per usage without paying much heed to the maintenance and implementation details of
Optimal Cooperative Virtual Multi-input and Multi-output Network Communication by Double Improved Ant Colony System and Genetic Algorithm .
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ABSTRACT This paper we research on the problem of cooperative virtual multi-input and multi- output (MIMO) network communication distance under the assumption of nodes placed along an appointed direction. The objective here is to choose the parameters value to solve
An Efficient Technique for the Design of Combinational Logic Circuits using Genetic Algorithm
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P Sharma 2018 14.139.60.7 ABSTRACT In designing of any digital circuit, the main aim of the designer is to design a circuit with minimum number of components. The optimization of a digital circuit is related to the minimization of circuit elements without sacrificing its working conditions and constraints
Classification of Chemical Medicine or Drug using K nearest Neighbor (kNN) and Genetic Algorithm
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ABSTRACT -Data mining techniques refers to extracting or mine knowledge information from large amount of data. In Data mining classification are supervised learning methods which are used to predict a different design model and describing important a data classes. Data
Tool Path optimization by Genetic algorithm for Energy Efficient Machining
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ABSTRACT The highly flexible CNC machines are used extensively by manufacturing industries for producing a variety of components. The cost of energy is about one fifth of the operating cost of these machines and this cost is increasing steadily. Many strategies are
Unsupervised classification by Isodata using genetic algorithm and Xie-Beni criterion
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ABSTRACT The unsupervised classification by the Isodata algorithm is closely dependent on the two parameters: the threshold to divide one class and the other threshold to merge two classes. Poor optimization of these two parameters leads the algorithm to escape any
Multi-Objective Optimization of Bi-Layer Metallic Sheet Using Pareto-Based Genetic Algorithm
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ABSTRACT . The bi-layer materials have been used widely during past decades due to their specific characteristics like lighter weight, more corrosion resistance, and insulation features in comparison with mono-layers which consisting them. In this research the aim is achieving
Multi-Objective Genetic Algorithm for Green Scheduling in Cloud Computing
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S Choudhary 2018 14.139.60.7 ABSTRACT Cloud Computing is advancement based on distributed computing, parallel computing and grid computing. Cloud computing delivers infrastructure, platform and software as services under the pay-as-you-go model. Cloud datacenters is a larger group of
A Novel Face Recognition Approach Based on Genetic Algorithm Optimization
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ABSTRACT : In the field of image processing and recognition, discrete cosine transform (DCT) and principal component analysis (PCA) are two widely used techniques. In this paper we present a face recognition approach based on them. Feature selection (FS) is a global
INTEGRATION OF ROUGH SET THEORY AND GENETIC ALGORITHM FOR OPTIMAL FEATURE SUBSET SELECTION ON DIABETIC DIAGNOSIS.
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ABSTRACT Diabetic diagnosis is an important research in health care domain to analyze relevant microorganisms at an earlier stage. Due to large growth in worlds population, feature subset selection model receives a great deal in any domain of research and also a
Comparative Study of Genetic and Discrete Firefly Algorithm for Combinatorial Optimization
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ABSTRACT Flexible job-shop scheduling problem (FJSP) is one of the most challenging combinatorial optimization problems. FJSP is an extension of the classical job shop scheduling problem where an operation can be processed by several different machines
Comparison of Genetic Algorithm and Simulated Annealing Technique for Weight Optimization of Flywheel
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AP Minn 2018 14.139.60.7 ABSTRACT Optimization is the act of obtaining the best resuh under given circumstances The present study deals with the weight optimization of flywheel for single-cylinder, four- stroke vertical cylinder diesel engine. The efficient flywheel design should maximize the
Using Genetic Algorithm to Improve Bernoulli Naïve Bayes Algorithm in Order to Detect DDoS Attacks in Cloud Computing Platform
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ABSTRACT -Devices such as routers, switches or firewalls are the most vital connections in communication network among physical machines in a cloud computing environment. In the absence of security on the network, intruders are allowed to access the equipment and
An Energy Efficient Mechanism Using Genetic Algorithm for Wireless Sensor Network
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ABSTRACT : Now a days wireless technology becoming more popular, hence the two major parameters, energy and security are very important issues and difficult to handle. These issues are interrelated since because of energy issue and limited power resources there are
TUNING PID CONTROLLER USING GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SINGLE PROPELLER PENDULUM
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ABSTRACT In this paper, PID control of a single propeller pendulum system is studied. PID controller is designed for angular position control of a propeller pendulum systems. PID controller has Proportional (Kp), Integral (Ki) and Derivative (Kd) gains which effect the
Hybrid Genetic Algorithm for Extracting Rules Considering the Dataset Complexity
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ABSTRACT This work provides a method for rule extraction using hybrid GA, the GANN, which is a combination of Genetic Algorithm (GA) and a Neural Network (NN). In addition, a rule extraction algorithm based on weight (REAW), and a probabilistic Decision Tree (DT)
Creating of genetic algorithm model for optimization of jet engine components
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In this paper authors show results of optimization of compressor discs in turbine engines. The problem of optimizing the disc thickness brought to the NP-complete problem, and solved it by using one of the genetic algorithms evolutionary algorithm . Correctness of
An Integrated Mechanism of Genetic Algorithm and Taguchi Method for Cut-point Temperatures Optimization of Crude Distillation Unit
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(CDU) is an energy intensive process. Fractionation is carried out based on the cutpoint temperatures, ie, the tray temperature of the CDU at which a product stream is separated. Rigorous optimization of cutpoint temperature is required for the unceasing scheduling of
THREE STAGE HYBRID GENETIC ALGORITHM : APPLICATION TO THE TRAVELING SALESMAN PROBLEM
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ABSTRACT In this paper a three-stage hybrid approach to generalized genetic algorithm is proposed that relies on a combination of Tournament and Best Solution methods for selection, PMX and Ordered crossovers and Inverse and Swap mutation to obtain optimal
Application of Genetic Algorithm in Construction Industry for the Optimization of Resources
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ABSTRACT The Genetic Algorithm technique (GA) is relatively new optimization technique. In this paper we present the various applications of GA in the Construction Industry for the various purposes. Similarly we want to present the different GA methodologies which have
TEST CASE GENERATION FOR PERFORMANCE ENHANCEMENT OF SOFTWARE THROUGH GENETIC ALGORITHM AND RANDOM TESTING
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ABSTRACT Software testing is most effort consuming phase in software development. One would like to minimize the efforts and maximize the number of faults detected. Hence test case generation may be treated as an optimization problem. One of the major difficulties in
Size optimization of steel trusses using a genetic algorithm in MATLAB
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ABSTRACT An important aspect of any engineering design problem is to achieve efficiency and efficacy. This can be in terms of energy consumption, performance, time, total weight and costs. In many cases, there are multiple solutions to a problem and you should select
Optimum Assignment of Machine Problems to Technicians Using a Genetic Algorithm
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ABSTRACT The best possible solution to a business problem shall be often found by trying many different solutions and scoring them to determine their quality. The stochastic optimization techniques, such as the Genetic Optimization Technique, shall be used for this
Application of Enhanced Genetic Algorithm
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ABSTRACT Genetic algorithm (GA) is a rapidly growing area of Artificial Intelligence. This paper introduces a faster and less computationally expensive enhanced Genetic Algorithm (GA) than the standard GA. Five enhancements are introduced here (multiple weighted
Demand Side Management Using Hybrid Genetic Algorithm and Pigeon Inspired Optimization Techniques
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ABSTRACT In this paper, our goal is to minimize the electricity cost, electricity consumption at minimum user discomfort while considering the peak electricity consumption. Electricity consumption may not be the same in residential, commercial and industrial areas. It may
Quantum Genetic Algorithm based on Qutrits and Its Application
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ABSTRACT Typical approaches to designing quantum genetic algorithms are based on a concept of a qubit a two-level quantum system. But many-valued quantum logic is more perspective from point of view of the computational power. This paper proposes a quantum CSE PROJECTS