genetic algorithm 2021
Finding the discriminative frequencies of motor electroencephalography signal using genetic algorithm
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A crucial part of the brain-computer interface is a classification of electroencephalography (EEG) motor tasks. Artifacts such as eye and muscle movements corrupt EEG signal and reduce the classification performance. Many studies try to extract not redundant andIn this paper we focus on an unrelated parallel workgroup scheduling problem where each workgroup is composed of a number of personnel with similar work skills which has eligibility and human resource constraints. The most difference from the general unrelated In this numerical study, a class of nonlinear singular boundary value problem is solved by implementation of a novel meta-heuristic computing tool based on the artificial neural networks (ANNs) modeling of system and the optimization of decision variable of ANNs
Optimizing a GPU-Accelerated Genetic Algorithm for the Vehicle Routing Problem
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The capacitated vehicle routing problem (CVRP) is an NP-hard optimization problem with many applications. Genetic algorithms (GAs) are often used to solve CVRPs but require many parameters and operators to tune. Incorrect settings can result in poor solutions. In this
Utilizing the Genetic Algorithm to Pruning the C4. 5 Decision Tree Algorithm
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A decision tree (DTs) is one of the most popular machine learning algorithms that divide data repeatedly to form groups or classes. It is a supervised learning algorithm that can be used on discrete or continuous data for classification or regression. The most traditional
Speed control of an SPMSM using a tracking differentiator-PID controller scheme with a genetic algorithm
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In this paper, a tracking differentiator-proportional integral and derivative (TD-PID) control scheme is proposed to control the speed of a surface mount permanent magnet synchronous motor (SPMSM). The TD is used to generate the necessary transient profile for
An Improved FOC Strategy for Speed Control of Induction Motor Drives Under an Open-Phase Fault Using Genetic Algorithm
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The Vector Control (VC) of Y-Connected Induction Motor (YCIM) drives is entirely demanding task. Furthermore, YCIM under an Open-Circuit Fault in the Stator Coils (OCFSC) leads to deterioration of the VC. Consequently, the VC of YCIMs under an OCFSCLoad balancing is an efficient mechanism to distribute loads over cloud resources in a way that maximizes resource utilization and minimizes response time. Metaheuristic techniques are powerful techniques for solving the load balancing problems. However, these
Efficient Framework for Genetic AlgorithmBased Correlation Power Analysis.
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Various Artificial Intelligence (AI) techniques are combined with classic side-channel methods to improve the efficiency of attacks. Among them, Genetic Algorithms based Correlation Power Analysis (GA-CPA) is proposed to launch attacks on hardware
MTC: Minimizing Time and Cost of Cloud Task Scheduling based on Customers and Providers Needs using Genetic Algorithm
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Cloud computing is considered a pattern for distributed and heterogeneous computing derived from many resources, and requests aim to share resources. Recently, cloud computing is graded among the top best technologies globally, which must be scheduled
Reduction Attributes on K-Nearest Neighbor Algorithm (KNN) using Genetic Algorithm
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Diabetes mellitus (DM) is a serious health problem both in Indonesia and in the world. Data mining techniques have been done to help diagnose diabetes. Attribute selection is a process to identify and remove attributes with irrelevant or excessive values. In this study
Hybrid quantum genetic algorithm based on spin and its performance analysis
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Quantum computing is a new interdisciplinary science combining information science and quantum mechanics. This paper presents a hybrid quantum genetic algorithm based on spin, which implements quantum crossover on quantum individuals, which is beneficial to
A HYBRID APPROACH FOR WEB SEARCH RESULT CLUSTERING BASED ON GENETIC ALGORITHM WITH K-MEANS
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Nowadays, search engines tend to use the latest technologies in enhancing the personalization of web searches, which leads to a better understanding of user needs. One of these technologies is web search results clustering which returns meaningful labeled
IoT System Based on parameter optimization of Deep Learning using Genetic Algorithm
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Nowadays, more and more human activity recognition (HAR) tasks are being solved with deep learning techniques because its high recognition rate. The architectural design of deep learning is a challenge because it has multiple parameters which effect on the result
Features of genetic algorithm for plain text encryption
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The data communication has been growing in present day. Therefore, the data encryption became very essential in secured data transmission and storage and protecting data contents from intruder and unauthorized persons. In this paper, a fast technique for text
Designing dartboards with genetic algorithm
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This study addresses the optimal dartboard design problem. It is mainly targeted to locate the numbers from 1 to 20 around the dartboard in order to maximize the risks of the player. In the dart games, maximizing the players risk will also increase the difficulty of the game
A Genetic Algorithm Integrated Approach for Efficient Relay Nodes Placement
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Abstract Relay Node Placement (RNP) is a critical design problem in Wireless Sensor Networks (WSNs). Network performance and energy efficiency can be highly affected by the placement strategy of RNs. It is an NP-hard optimization problem which can be effectively
Genetic algorithmbased Local Binary Convolutional Neural Network for Gender Recognition
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At present, the main focus in the development of convolutional neural networks (CNNs) is deepening the network model to improve accuracy. However, this increase the numbers of parameters and calculations in the network architecture. When the networkThe Intrusion Detection System (IDS) plays a significant part in security schemes. Network IDS (NIDS) seems to have a position in the detection of harmful and unauthorized networks and systems among its various forms. The identification of Denial of Service (DoS) and An adaptive control algorithm design for an electromechanical system has been introduced. The adaptation mechanism covers the controlled system identification executed after each detection of the system dynamics behavior change and a genetic algorithmbased controller
An Optimal Digital Image Encryption System using The Genetic Algorithm
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The advancement in technology has made it very easy to gain access to an avalanche of items, both tangible and intangible. As this advancement takes on different strides, the ease with which the privacy of individuals and institutions at large is exploited has exponentially Small to medium sized transportation and logistics companies are usually constrained by limited computing and IT professional resources on implementing an efficient parallel metaheuristic algorithm for planning or management solutions. In this paper we extend the
Using Genetic Algorithm to Optimize The-Loading Space in a Container
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The problems often occur in loading the contents of goods into a container, so it is needed an optimization of the goods to be loaded into a container. The settlement of the problem which generally occurs is based on the experience of the actors who arrange the layout ofThe paper addresses research in the area of software testing, which has a critical part of performing in software quality assurance. It becomes very inefficient for a tester to re-execute massive number of test cases again and again for small variations. The proposed artificial
A Novel Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: DSGA
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Non-dominated sorting is a critical component of all multi-objective evolutionary algorithms (MOEAs). A large percentage of computational cost of MOEAs is spent on non-dominated sorting. So the complexity of nondominated sorting method in a large extent decides the
GENETIC ALGORITHM FOR IMPROVED TRANSFER LEARNING THROUGH BAGGING COLOR-ADJUSTED MODELS
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Computer vision has seen some breakthroughs in the last decade based on some methodological advances, but as well based on the availability of huge datasets like ImageNet for training. However, training data is generally scarce in remote sensing and The theory and practice of genetic algorithms is largely based on the Schema Theorem. It was formulated for a canonical genetic algorithm and proves its ability to generate a sufficient number of effective schemata of individuals. Genetic algorithms to solve specific
Genetic Algorithmbased Task Allocation in Multiple Modes of Human-Robot Collaboration Systems with Two Cobots
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In this paper, we introduce a human-robot collaboration (HRC) mold assembly cell to cope with smallvolume mold production and reduce the risk of musculoskeletal disorders (MSDs) on a human worker during manual mold assembly operation. Besides, the wide variety of
Genetic Algorithm Approach in Forming the Optimal Portfolio of Issuer Companies with Dividend Distribution Criteria
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Investing in the capital market for some investors is a challenge in itself. Investors are required to be able to determine the right combination and proportion of shares when they want to place a number of funds in each share that make up the optimal portfolio. The
An Optimized Input Genetic Algorithm Model for the Financial Market
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The financial market has continued to attract increasing investment volume in the last decade. The daily turnover of the foreign exchange (forex) financial market for example, has increased from 4.0 trillion USD in to 6.6 trillion USD in 2020. However, with all the
Analysis and Optimization of Truss Structures, Constrained Handling using Genetic Algorithm
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In this study, an attempt is made to minimize the weight of Howe roof and ten member-6 Node trusses, separately. Two constraints, maximum allowable deflection and maximum allowable member stresses have been considered. For the first truss, permissible deflectionThis paper presents an analysis of building blocks propagation in Quantum-Inspired Genetic Algorithm , which belongs to a new class of metaheuristics drawing their inspiration from both biological evolution and unitary evolution of quantum systems. The expected number of
Web service composition based on improved multi population genetic algorithm
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With the development of cloud computing, the improvement of web service standards and the progress of supporting software, more and more web services are published on the Internet. Web service quality aware (QoS) not only requires specific services to complete
Selective Harmonic Eliminated Pulse Width Modulation (SHE-PWM) Method using Genetic Algorithm in Single-Phase Multilevel Inverters
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Numerous techniques have been used in the literature to produce switching signals in multilevel inverters (MLIs). Reducing the number of switching component in multilevel inverters is another area of interest in the literature. In this paper, a MLI with low switching
A novel continuous genetic algorithm technique for the solution of partial differential equations
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In this paper, a novel continuous genetic algorithm (CGA) approach is proposed for the solution of Laplace, Poisson, Helmholtz, and nonlinear partial differential equations (PDEs) due to their importance as they are encountered in a variety of mathematical and physical
Comparison of Genetic Algorithm and Taguchi Optimization Techniques for Surface Roughness of Natural Fiber-Reinforced Polymer Composites
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Climate change has necessitated the development of green alternatives to replace existing materials. This focus has resulted in the push toward fabricating natural fiber-reinforced polymer composites. This research work looks at the surface roughness (SR) of natural
FOR CREATING CUSTOM MULTIPLE LINEAR REGRESSION BASED SHORT TERM LOAD FORECASTING MODELS BY USING GENETIC ALGORITHM
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This paper presents a novel procedure for short-term load forecasting in distribution management systems. The load is forecasted for feeders that can be of a primarily residential, commercial, industrial or combined type. Each feeder has various amounts ofImages have important role in different section of life like, social, medical diagnosis, environmental science, etc. Images are easy to modify by different tools and methods, hence reality check or authentication required. Out of many techniques of authentication, invisible
Multivariate Optimization of a Jacketed Heating System: A Genetic Algorithm Approach
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Many industrial processes involve heating or cooling of fluids, and as such, it is important to figure out ways and synopsis that could effectively determine operating conditions for a desired optimum process output. In this paper, a fluid heating jacketed system was studied
Analysis Efficiency and Optimization of Crystallization Method of Genetic Algorithm Sugar Plant Use
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The accessibility investigation of the crystallization framework in a sugar plant is investigated in the current paper. There are different subsystem which are mind boggling in nature and are repairable In a sugar plant, there are (I) taking care of framework (ii) refining framework