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40 articles for “heuristic optimization”
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Job Shop and Flexible Job Shop Scheduling Problems: Heuristic Optimization
Abstract: The development of modern wide-area engineering problems, as well as recent trends towards the creation of sustainable engineering systems for daily objectives have given birth to complex studies addressing technical, but also economical and environmental, aspects related to simple or multi-objective optimization problems. Recently, heuristic and (meta) heuristic approachesthat apply combinations of different heuristics with or without traditional search and optimization techniques were proposed to solve such problems. This paper …
Published in Journal of Production Research & Management · Vol. 10, Issue 1, 2020 · pp. 25–31 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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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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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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Solution of Optimal Reactive Power Dispatch Problem Using a Novel Meta-heuristic Technique
Abstract: This paper presents the use of a recently developed algorithm inspired by the hunting mechanism of grey wolfs in nature, called grey wolf optimizer (GWO) algorithm for solving optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a complex optimization problem with nonlinear characteristic. The GWO is used to find the set of optimal control variables of ORPD problem, such as generators’ terminal voltage, position of tap changers …
Published in Trends in Electrical Engineering · Vol. 7, Issue 3, 2017 · pp. 8–16 Read article
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Impact of Time Multiplier Setting Range on Optimum Coordination of Directional Overcurrent Relays
Abstract: Over-current relays especially Inverse Definite Minimum Time (IDMT) relays are most commonly used protective device in the distribution system. It is vital that during abnormalities or faults, the IDMT relays must be capable to isolate only the faulty part of power system from the healthy system. The operating time of IDMT relays can be reduced with proper coordination between primary and backup relays by selecting optimum settings. Heuristic-based optimization techniques …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 33–40 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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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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A Study and Performance Evaluation of Evolutionary Optimization Techniques for Multi-objective Master Production Scheduling Problems
Abstract: Master production schedule (MPS) can effectively and efficiently synchronize the operations in any organization. MPS, which is posed as one of the multi-objective parameter optimization problems, is a plan that determines optimal values of products to be produced. For many engineering optimization problems, more competitive and optimal solutions can be obtained by using Heuristic evolutionary optimization algorithms. Among these, two main algorithms considered here are the differential evolution (DE) whose …
Published in Journal of Production Research & Management · Vol. 3, Issue 2, 2013 · pp. 12–22 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
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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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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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Power System Stabilizer Design based on Honey-Bee Mating Optimization Algorithm
Abstract: Power system stability is one of the main factors in performance of electrical system. A control system must retain frequency and voltage size under any distortion such as sudden increase in load, to leave a generator from circuit or cut off a transmission line in a constant level. In this paper, Honey-bee mating optimization (HBMO) algorithm has been used to design power system stabilizer. It is based on the mating …
Published in Trends in Electrical Engineering · Vol. 4, Issue 3, 2014 · pp. 18–25 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Heuristic Based Transportation Routing and Sizing
Abstract: Employee transportation is one of the most concerned issues and a part of HR policy in today’s work culture. Optimization of these routes and analysis of scenario needs to be done to leverage cost benefits for the organizations of today. Traditional studies focus on goods delivery and pickup, but employees are a totally different entity, which change the type of problem to be solved. As the entity to be considered …
Published in Journal of Production Research & Management · Vol. 5, Issue 3, 2015 · pp. 20–27 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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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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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 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