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29 articles for “Heuristic methods”
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The Big Traveling Salesman and Mathematics At The Limits of Computation
Abstract: The travelling salesman problem (TSP) is a well-known problem in the field of operations research and has applications in many areas including manufacturing and production. This article is a small review of the book titled “In pursuit of the traveling salesman: mathematics at the limits of computation” written by William J. Cook published in 2012 by PRINCETON UNIVERSITY PRESS.
Published in Journal of Production Research & Management · Vol. 4, Issue 3, 2014 · pp. 23–25 Read article
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Reduction Of Total Electricity Generation Cost For Complicated Power Systems Considering Renewable Energy Sources By Using A Sea Horse Optimizer
Abstract: This paper focuses on solving the economic load dispatch (ELD) problem by incorporating the presence of wind and solar power plants alongside conventional thermal power plants (THs). Particle swarm optimization (PSO) and Sea horse optimizer (SHO) are applied to solve the problem with the main objective function of minimizing the total electricity generation cost (TEGC). SHO is a novel meta-heuristic method recently proposed, while PSO is one of the classical …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 1–8 Read article
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Genetic Algorithm Application for Efficient Load Frequency Control
Abstract: Load frequency control (LFC) is known to be significant control strategy for operation in electric power grid that entails balancing the electrical power provided by power plants with the electrical power consumed by the load. The primary purpose of LFC is to ensure that the power system functions within a specific frequency range and that the power provided by power plants matches the power used by the load. Power system …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 3, 2023 · pp. 1–14 Read article
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Optimal PMU Placement in Power Systems Using Graph Theory and PSAT
Abstract: Phasor measurement units (PMUs) play a vital role in modern power systems by delivering synchronized, real-time measurements. These devices enhance system reliability by supporting functions such as monitoring, protection, and control. By accurately capturing voltage and current phasors across different locations, PMUs enable better situational awareness and more effective decision-making in grid operations and management. Determining the optimal location of PMUs is essential to ensure system observability, reduce installation costs, …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 26–32 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Energy-Aware Task Offloading in 6G-Enabled Mobile Edge Computing Environments
Abstract: The emergence of sixth-generation (6G) wireless communication networks is expected to revolutionize future mobile systems by enabling ultra-low latency communication, extremely high data rates, massive connectivity, and intelligent network management. In parallel, mobile edge computing (MEC) has gained significant attention as a promising paradigm that brings computational resources closer to end users, thereby alleviating network congestion and reducing end-to-end service delays. Despite these advantages, the rapid growth of computation-intensive and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Prediction of Excitation Current of Synchronous Machines Based on Neural Network Model
Abstract: There are several difficulties found to estimate the excitation current & and optimum input parameters of synchronous motors. Heuristic methods are frequently used to weightt the problem's parameters or optimum coefficients. As a result, a neural network model is modified in this study to explore the best parameters and estimate the excitation current of a synchronous motor with minimal prediction errors for both the testing dataset and cross validation. Excitation …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 28–33 Read article
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Numerical Simulation of Energy Efficient Routing Protocol in Wireless Sensor Network Using Optimized LEACH
Abstract: Wireless sensor systems consist of, for instance, independent sensors used to measure temperature, humidity, and physical and environmental conditions spatially distributed. These sensors transmit data to a dish. Due to the huge ability of sensor network to link the physical world to the vertical world, the popularity of the wireless sensor networks (WSNs) has enormously increased. Becoming a repetitive job since those devices rely on battery power and can be …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 48–56 Read article
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Heuristic Application on Energy Storage System Allocation in Wind Integrated Power System
Abstract: Increasing penetration of renewable energy significantly alters the network power flow in terms of direction as well as magnitude. The intermittent and uncertain nature of renewable inputs is a major concern since the power flow in the system is affected considerably. Hence to support bulk integration of renewable energy in the power system, bulk or distributed energy storage systems can be implemented. The energy storage system is utilized to absorb …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 2, 2022 · pp. 21–31 Read article
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Website Usability Using AI
Abstract: This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 19–27 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Transient Stability Analysis of Power Systems with Static VAR Compensator: A Modeling Perspective
Abstract: Flexible AC Transmission Systems (FACTS) controllers have emerged as a vital tool to overcome the compensation challenges offered by modern power systems. Static Var Compensator (SVC), a type of FACTS controller plays a very important role in enhancing the power system performance, reactive power factor, maintain voltage stability. A thorough review and implementation of SVC with its various configurations is presented in this paper. Performance analyses of SVC and associated …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 · pp. 33–47 Read article
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Demand Forecasting for Seasonal Demand Patterns: Case Study of a Pharmaceutical Company
Abstract: In this paper the authors have developed a heuristic model that addresses demand forecasting for products those follow seasonal patterns. The model is checked against various renowned forecasting methods by comparing forecast errors. The proposed heuristic model is found to give better results than the Winters’ and other exponential models. Non-linear optimization is used to choose the values of smoothing parameters rather than depending on human judgment or experience. This …
Published in Journal of Production Research & Management · Vol. 4, Issue 3, 2014 · pp. 1–7 Read article
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Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems
Abstract: Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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Detection of Phishing Website Using URL
Abstract: Phishing attacks are one of the greatest threats to online security, where fraud websites deceive users into giving out sensitive information. Traditional methods of detection, such as blacklists and heuristic-based systems, often fail in identifying newly created or sophisticated phishing websites. This study proposes an intelligent phishing website detection system using Convolutional Neural Networks (CNNs) in analyzing URLs and associated features. Using labeled URLs, the system employs such attributes such …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 10–15 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Optimizing Sizes And Locations Of Wind Turbines In Ieee 33-Node Distribution System For Loss Reduction By Using Moutaint Gazelle Algorithm
Abstract: This study applies a novel meta-heuristic, called Moutaint gazelle algorithm (MGO) to determine the optimal sizes and locations of wind turbines to place in distribution networks for loss reduction. The IEEE 33-bus distribution system is a test system for conducting the whole study. The results obtained by MGO are compared to those obtained by another meta-heuristic algorithm, called Artificial Hummingbird Algorithm (AHA). The comparison between the two methods indicated that, …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 16–23 Read article
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Experimental Investigation and Optimization of Machining Parameters for Al6351 Alloy Using a Modified Taguchi Approach
Abstract: Machining processes encompass both conventional and non-conventional techniques and optimizing machining parameters is crucial for achieving high-quality outcomes. However, simplifying these processes remains a significant challenge. This study focuses on determining the optimal machining parameters—cutting speed, feed rate, and depth-of-cut to enhance performance characteristics in Al6351 alloy plates. The parameters evaluated include surface roughness (Ra), material removal rate (MRR), resultant forces (RF), and temperature at the tool- workpiece interface (Temp). …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1463–1481 Read article
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Optimization of Helical Spring Weight using Meta-heuristic Algorithms
Abstract: Optimization is the act of obtaining the best results under given circumstances. A mathematical theory of optimization is highly in use and is being applied to design where design function can be expressed mathematically. Many techniques like Linear Programming, Branch & Bound technique, Dynamic Programming methods are available to solve optimization problems. But these conventional Methods suffer from certain drawbacks like sticking at suboptimal solution, inefficiency in handling problems having …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 21–28 Read article
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Isogeometric Topology Optimization of Continuum Structures using Evolutionary Algorithms
Abstract: Isogeometric analysis is a popular method for the analysis of problems involving complex geometry and governed by differential equations. Meta-heuristics are widely used to determine the optimum distribution of material within the given design domain. The focus of this study is to perform isogeometric topology optimization of continuum structures using meta-heuristics nature inspired firefly algorithm. NURBS basis functions are used to construct the geometric model and to calculate the displacements …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 3, 2017 · pp. 8–18 Read article