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97 articles for “genetic algorithms (GA)”
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Genetic Algorithm Based Optimal Volt/Var Control of Distribution Systems with Distributed Generation
Abstract: In this paper, new voltage regulation algorithms have been proposed for Distribution System (DS) equippedwith Distributed Generation (DG). Due to the ever increasing power demand, the power system sector isfacing too many challenges to fulfill that demand and also to supply power with proper acceptable quality.Distributed generation is one of the most efficient solutions to meet the increasing demand. When integratedwith the grid, it has its own technical as well …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 28–46 Read article
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Implementation of Anticipating Rainfall Using Machine Learning
Abstract: Rainfall forecasting is crucial for many aspects of our national economy and should help prevent major seasonal droughts. Since agriculture is a beloved profession in many states, some Asian countries are economically hooked to decline. Previous precipitation info is beneficial. Farmers are cancerous in managing their crops, resulting in economic progress for the country. downfall prediction is hard for earth science scientists because of unordering time and unordered quantity of …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Optimal Placement and Sizing of STATCOM for Loss Reduction and Voltage Profile Enhancement Using Genetic Algorithm
Abstract: Electric power distribution networks frequently experience significant power losses and voltage profile deterioration due to increasing load demand and inadequate reactive power compensation. This study investigates the enhancement of the Eleme distribution network in Rivers State through voltage upgrading and optimal deployment of a Static Synchronous Compensator (STATCOM). The existing network consists of a 5.56 km, 11 kV radial distribution system supplying seventeen distribution transformers with a cumulative load demand …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 · pp. 41–46 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Comparative Performance Analysis of Swarm and Intelligent Evolutionary Techniques for Optimal Design of Distribution Transformer
Abstract: This paper addresses the method of optimal design of a three phase distribution transformer using Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Teaching-Learning-Based-Optimization Algorithm (TLBO). The design and analysis programs have been developed for constrained optimal design with cost as the objective function. The active part cost of the transformer has been minimized keeping in view BEE (Bureau of Energy Efficiency) standards and constraints. A design example on a …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 46–58 Read article
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Design Simulation of Improvement of Voltage Profile and Loss Minimization by Efficient Placement of Distributed Generation in Grid Connected System
Abstract: Electricity consumption is rapidly increasing, and the gap between generation and load is widening. The mismatch between demand and load causes a range of problems, including failure, low power, and, in certain cases, blackout. These issues will be solved by including Distributed Generation (DG) into the system. For maximum dependability, technological and economic benefits, and optimal size and capabilities of distributed generators, the proper distribution of power systems, kind of …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 2, 2021 · pp. 1–9 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article
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Optimization of Symmetric Linear Phase Low Pass FIR Filter Using Genetic Algorithm
Abstract: In the proposed paper, optimization of symmetric linear phase low pass Finite Impulse Response (FIR) filter using Genetic Algorithm GA is a computational optimization technique; which optimizes the Mean Square Error (MSE) and filter coefficients with the help of fitness function. The optimize results are compared with two different filter designing analysis (FDA) methods viz. least square method and equiripple method
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 9–14 Read article
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Time Cost Optimization Techniques in Construction Industries-A Review Article
Abstract: Construction project scheduling and optimizing the schedule has received a considerable amount of attention over the last few decades. Completion of a project in optimum time and minimum cost is a challenge in every project. There are many methods and algorithms available; using which time cost optimization (TCO) can be achieved. This article gives a review on critical path method (CPM), linear programming (LP), genetic algorithm (GA) and ant colony …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 28–32 Read article
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Optimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programming
Abstract: Quantum Inspired Evolutionary Programming (QIEP) is an optimization technique that combines the benefits of quantum computing and evolutionary algorithms together. In this paper this technique is used to find optimal allocation of Flexible AC Transmission System (FACTS) devices. The results are compared with the results found from genetic algorithms (GAs). Based on the results it can be concluded that QIEP technique is better than GAs. Keywords: QIEP, quantum computing, evolutionary …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 23–27 Read article
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Optimal Thermal Generating Unit Commitment via Evolutionary Algorithms: A Review
Abstract: This paper presents a literature survey of economic load dispatch problem. The economic load dispatch (ELD) is one of the most important optimization problems of electrical power system. The aim of the ELD problem is to determine the power productions of total generating units from a system in order to have minimum fuel cost, and to meet the all constrains. Solving ELD involves conveying a precise model of optimization and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 26–32 Read article
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Fuzzy based Hybrid Genetic Algorithm for Efficient Cloud Job Scheduling
Abstract: AbstractThese days enterprises need to keep up a lot of uses getting to buy a large number of clients everywhere over the world. Keeping up their own foundation, overseeing programming prerequisites, and taking care of exorbitant excessive internet is difficult. This makes them move towards cloud computing. Cloud computing is a service provisioning strategy where clients can lease any assets like equipment, programming, or stage to build up an application. …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 1, 2021 · pp. 6–16 Read article
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Relay Node Selection Based Reduced Energy Consumption in Heterogeneous Wireless Sensor Network
Abstract: Energy conserving optimization is of chief concern while scheming a wireless sensor network (WSN) as most of the sensor nodes are furnished with limited power supply. In this paper, we focus on minimizing energy consumption and maximizing network lifetime in three-tiered network architecture. For this obvious goal, clustering techniques are a boon with a hierarchical arrangement to boost the performance of the network as well as reduce the consumption of …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 2, 2016 · pp. 7–14 Read article
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3D-QSAR and Molecular Docking Studies of Triazol-Cycloalkanol Derivatives Used as Potent 3-Dehydroquinase II Inhibitors Against Mycobacterium tuberculosis
Abstract: Tuberculosis is a life threatening infectious disease caused by gram positive bacteria mycobacterium tuberculosis. Emergence of drug resistance, multi drug resistance and extensively drug resistance strain of mycobacterium make the situation more worst. It increases the mortality rate of tuberculosis patient, time duration and cost of treatment. Various inhibitors and drug molecules are designed to combat this fatal disease. Enzymes of shikimate pathway are responsible for production of essential amino …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 5, Issue 3, 2015 · pp. 18–28 Read article
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Genetic Algorithm Based Simulation for IEEE-30 Bus System Multi-Objective Power Flow Design
Abstract: In order to control and orchestrate profitable power structures, OPF algorithms are a critical area of research. Perfect Power Flow is utilised to keep objective work to a minimum. This goal restriction might be a single goal or a set of goals. In this work, we used a perfect energy stream to reduce the cost of fuel while meeting constraints such as generator tension and electrical yields, which are used …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 9–15 Read article
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Performance Evaluation of Direction of Arrival Estimation in Smart Antenna
Abstract: Direction of arrival (DOA) estimation has typically played a key role in signal processing. Its task is to find the directions impinging on an array antenna to increase the performance of the received signal. To use DOA estimation methods that are applicable to most environments has become the key of technique implementation. The traditional algorithms can get superior performance for DOA estimation in the rich receiving conditions, but they are …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 39–48 Read article
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Improved Genetic Algorithmic Rule Mistreatment Hybrid Initial Population to Resolve Travelling Salesman Drawback
Abstract: Abstract: The algorithmic genetic rule is beneficial to resolve the optimization issues. It performs genetic operators to solve optimization issues. Travelling salesman problem (TSP) may be a well-known optimization downside, but TSP is beneficial to resolve the several difficulties of science and engineering. In this paper, to determine TSP, algorithmic genetic rule is applied. An initial hybrid population is generated in an algorithmic hereditary rule. The coupling of the initial …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 46–50 Read article
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Genetic Algorithm Based Tree Formation in Wireless Sensor Networks
Abstract: A typical task in wireless sensor networks is to collect data through nodes of sensor network towards sink. wireless sensor network has various data gathering techniques based on tree, data gathering based on chain and data gathering based on hierarchy etc. This paper shows a tree formation technique used in the data gathering. The data is collected from different sensors forward and towards the sink node for this purpose. The …
Published in Journal Of Network security · Vol. 3, Issue 3, 2015 · pp. 22–32 Read article