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30 articles for “genetic algorithm”
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New Data Analysis Method based on L2-Metric over Fuzzy Logic and Genetic Algorithm
Abstract: ABSTRACT L2-Metric is studied over Fuzzy Logic and Genetic Algorithm for analyzing the data. The characterization of L2-metric is generalised over the fuzzy logic and genetic algorithm by isomorphism. This paper presents a new technique of data analysis by Genetic Algorithm (GA), L2 metric and Fuzzy Logic. GA is the process for generating the best variable for the next operation. The data of student’s academic performance is studied as the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 13–18 Read article
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An Application of Genetic Algorithm in Data Analysis
Abstract: ABSTRACT Genetic Algorithm (GA) is applied to analyze the data. This paper presents the significance of GA in data analysis. The prediction, optimization, generalisation, connectedness, compactness and boundedness are the key advantages of this application. GA based data analysis considers the generation of the homomorphic data. This data is the filtered data but useful for the further analysis contained minimum errors. Keywords: Data analysis, GA Cite this Article: Swati Jain, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 1–7 Read article
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Adaptive Task Scheduling for IoT Devices Using Improved Genetic Algorithms in Mobile Edge Computing
Abstract: In order to tackle the growing complexity of intelligent services while staying within the resource limitations of mobile devices, this research explores how to optimize task scheduling in the context of mobile edge computing. The study's proposal of a new algorithm that improves computational efficiency and energy utilization in devices enabled by the Internet of Things (IoT) becomes more relevant as the IoT grows in popularity. This approach maximizes computing …
Published in International Journal of Microwave Engineering and Technology · Vol. 9, Issue 2, 2023 · pp. 19–33 Read article
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Review on GABASS (Genetic Algorithm Based Attributes Subset Selection) Using Naïve Bayes Classifier
Abstract: ABSTRACT In the present work, review on Genetic Algorithm based Attributes Subset Selection using Naïve Bayes Classifier is presented. A dataset can contain a few components. Many clustering strategies are intended for grouping low-dimensional information. In highdimensional space discovering groups of information objects is trying because of the scourge of dimensionality. At the point when the dimensionality expands, information in the immaterial measurements may create much commotion and veil the …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 2, 2018 · pp. 21–27 Read article
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Fuzzy Logic, Artificial Neural Network and Genetic Algorithm over Sylvester Law of Inertia based Data Analysis Technique
Abstract: ABSTRACT Compactness of the Fuzzy Logic (FL), Artificial Neural Network (ANN) and Genetic Algorithm (GA) is applied to analyze the data. This paper presents a foundation for the same in compact form over the Sylvester’s Law of Inertia (SLI). The sequence of FL, ANN and GA is studied for deciding the source of output data. The data interacts with the academic institutes. The academic planning is based on the existed …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 22–29 Read article
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Genetic Algorithm approach for the Position Control of Permanent Magnetic Synchronous Machine
Abstract: Permanent Magnetic Synchronous Motors (PMSM or Brushless DC Motor) are widely being used for many industrial applications because of their high efficiency, high torque and low volume. Research has conducted using genetic algorithm to develop a complete model of the BLDC motor and to design an optimal controller for its position control. Generally PID controller is being used for control purposes in many systems because of its simple structure and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 30–39 Read article
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A Genetic Algorithm for Optimization of MSE & Ripples in Linear Phase Low Pass FIR Filter & Also Compare with Cosine Window Techniques
Abstract: Cosine Window Techniques such as Hamming, Hanning etc. are used to simply design the Finite Impulse Response (FIR) digital Filters. Window function is a scientific function which works on Mathematics by calculating the impulse response of best digital filters. Windowing function is mainly conciliation between the reduction of ripples and Mean Square Error (MSE). But in the proposed research work; Genetic Algorithm (GA) reduces more MSE as well as ripples …
Published in International Journal of Digital Communication and Analog Signals · Vol. 1, Issue 1, 2015 · pp. 9–15 Read article
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Genetic Algorithm for Automatic Generation and Optimization of Course Timetable
Abstract: Creating a timetable is a very complex problem with multi-dimensional data. Generating these timetables manually comprises of various rounds of adjustments, to make the solution more gratifying. In this project a system will be proposed which produces an excellent solution for the timetabling problem. Here, the system will take various inputs from the users and produce the weekly timetable as output for them.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 12–19 Read article
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Identification of significant parameters for the production of Jatropha biodiesel using preliminary experimentation
Abstract: The current research work is on Jatropha biodiesel for finding the significant parameters in optimum biodiesel yield. The one factor at a time approach is applied in the esterification. The trans-esterification reaction is used by mixing of Jatropha oil and ethanol in the presence of catalyst KOH. After some time two products are formed a Jatropha biodiesel and a glycerin. The density of glycerin is more as compared to biodiesel. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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Optimization of Dynamic Load Carrying Capacity of Tapered Roller Bearing Using Advanced Optimization Technique
Abstract: In the design of tapered roller bearings, long life is the one of the most important criterion. Roller bearings are used mostly in mechanical equipment due to its low friction capability. Tapered roller bearing is selected and the objective function is to maximize dynamic load capacity. Design variables for the bearing include four geometrical parameters: the bearing pitch diameter, the diameter of the roller, the effective length of the roller, …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 23–42 Read article
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Experimental Realization of Constrained Optimization of Sliding Mode Controller Parameters with Modified Objective Functions
Abstract: An appropriately tuning of Sliding Mode Control (SMC) can be used to overcome the weaknesses like sensitivity to parameter variations, modeling errors and external disturbances. In this research article, Non-Dominated Sorting Genetic Algorithm (NSGA-II) based SMC with modified objective function and the best weight values have been evaluated to improve the performance of closed-loop level control system. Equivalent weights and importance weights are assigned to each term of an objective …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 8–25 Read article
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A Review Paper on Methods of Microstrip Patch Antennas for Modern Applications
Abstract: ABSTRACT Substandard bandwidth execution is a normal for microstrip patch antennas and bandwidth improvement is a most critical test when designing patch radiators. Small size wideband microstrip patch antenna with different method of design such as slot load patches of different location, size and shape, multiple patches, fractal structures, EBG structures that shows the variation of resonant frequencies, higher percentage of Bandwidth, provide desired alignment of radiation with mathematical equation …
Published in International Journal of Microwave Engineering and Technology · Vol. 5, Issue 1, 2019 · pp. 1–13 Read article
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Optimization of Traffic Signal Timing for Urban Mobility: A Case Study
Abstract: AbstractUrban traffic congestion is one of the most pressing challenges in modern cities, leading tosubstantial economic losses, environmental degradation, and reduced quality of life. Traditionalfixed-time traffic signal systems are often inadequate in addressing fluctuating traffic demands,contributing significantly to this congestion. This paper explores the optimization of traffic signaltiming using a genetic algorithm (GA) integrated with real-time traffic data to improve urbanmobility. A case study was conducted at three highly congested …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 20–25 Read article
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Recent Trends in Computational Optimization: A Note
Abstract: Abstract This paper has investigated about the optimization techniques. It is record from the traditional techniques used in Optimization and Global Optimization to the recent techniques. This paper has given the special emphasis on the heuristics and meta-heuristics used in Global Optimization. It is also a record of the solution of the real-life problem in the field of Operation Research, Computer Science, Mathematics, Statistics, Economics, Management and Engineering Optimization Problem. …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 2, 2015 · pp. 1–5 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Seamless Connectivity and Efficient Resource Allocation in IoT Forensics and Bio-inspired
Abstract: The convergence of cloud computing and the Internet of Things has reshaped many industries, enabling seamless device connectivity and resource allocation on a massive scale. This paper highlights the challenges bio-inspired Internet of Things networks and Internet of Things forensics pose while delving into the core components of achieving connectivity and resource provisioning within cloud-based Internet of Things environments. Different state-of-the-art technologies have been taken into account to enhance reliability …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 8–15 Read article
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Generative Design and Simulation for Castor Wheel Assembly
Abstract: A castor wheel CAD model can be used to optimise the wheel's design for avariety of elements, including load capacity, durability, and use. Given theemployment of evolutionary algorithms and search strategies in thiscomputational process, generative design, also known as evolutionary design,is not a new idea. It can be characterised as a prototype design system thatcreates fresh conceptual designs from scratch using a genetic algorithm. In thismethod, a prototype system generates …
Published in International Journal of Mechanics and Design · Vol. 8, Issue 2, 2022 · pp. 15–24 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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INDISCRIMINATE BASED UNIT TESTING FOR AUTOMATED TEST STATEMENT PRODUCTION
Abstract: Random based mostly Testing is that the follow of victimization organisation for a few aspects of check computer file choice. During this system describe the unit check knowledge generator. Its 2 levels. The lower level could be a Random based mostly unit testing engine that tests a collection of ways in keeping with parameter values specific as genes in a very body, together with parameters that encrypt a worth utilize …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 1–5 Read article