Search
1940 articles for “optimality” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Multi Objective Optimization of Lifting Hook Strength for Hitachi Sumitomo Systems Using Cross Sectional Variations
Abstract: Material handling equipment refers to a broad category of mechanical systems used for the movement, storage, regulation, and safeguarding of materials and products throughout different stages such as manufacturing, distribution, usage, and disposal. These systems form an integral part of industrial operations by facilitating efficient handling processes. Typically, material handling equipment can be grouped into four primary classifications: storage and handling devices, engineered systems, industrial transport vehicles, and bulk material …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 1–15 Read article
-
An Intelligent Gray Wolf Optimizer: A Nature Inspired Technique in Intrusion Detection System (IDS)
Abstract: AbstractFeature choice algorithmic program investigates the knowledge to get rid of creaking, irrelevant, overabundance information, and everyone the while optimizes the classification performance. In this work, an intelligent grey wolf optimization (GWO) technique is used to select optimal feature subset for classification purposes. Grey wolf optimizer (GWO) is one of the most recent bio-enlivened optimization strategies, which impersonate the authority pecking order and chasing system of gray wolves in nature. …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 18–24 Read article
-
Modified Binary Firefly Algorithm (MBFA) for Optimal Allocation of Spectrum in Cognitive Radio Systems
Abstract: Spectrum bands are nature’s communication highways which are highly congested now-adays. To overcome this problem, dynamic allocation of spectrum is under consideration over the current fixed spectrum allotment policy. In dynamic allotment, various optimisation methods can be applied for achieving the best possible spectrum allotment during handover so that the better quality of service can be given to cognitive users with the simultaneous improvement in spectrum utilisation. This study focuses …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 2, 2016 · pp. 42–47 Read article
-
Optimization of Venturimeter Geometry for Minimum Pressure Drop using CFD Analysis
Abstract: A venturimeter is one of the accurate flow measurement devices used to measure volumetric flow rate based on differential pressure. Pressure recovery is a problem when flow measurement is done by venturimeter. So, it is necessary to select its geometrical parameters in such a way that minimum pressure loss occurs. In this paper, optimization of geometrical parameters of venturimeter for minimum pressure drop has been done using CFD analysis. For …
Published in Recent Trends in Fluid Mechanics · Vol. 3, Issue 2, 2016 · pp. 31–35 Read article
-
Employ of Design of Experiments for Optimization of Instinctive Variables in Turning Operation: A Review
Abstract: In recent years, due to tremendous progress in manufacturing industries, great changes have especially been ascertained in machining of metals. Every manufacturing industry intent to produce a massive number of commodities within comparatively lesser time. This persuades optimization problem which endeavor to access the best parametric combination for the manufacturing process. This paper presents a critique of optimization of instinctive variables in turning operation by employing various techniques of Design …
Published in Trends in Mechanical Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 7–16 Read article
-
Performance Optimization of Floating Offshore Wind Turbines with Wave Oscillation
Abstract: In this paper, the influence of wind turbine tilt due to wave effects on the power generation has been studied and analyzed to optimize the performance of floating offshore wind turbines (FOWT). A simulation process has been developed to determine the optimum tilt angle at which the wind turbine delivers the maximum power. The simulation has been applied to a marine wind turbine with articulated hinge, which allows to correct …
Published in Journal of Offshore Structure and Technology · Vol. 9, Issue 3, 2022 · pp. 26–39 Read article
-
Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
-
An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
-
Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
-
HFSS-Based Helix Antenna Design Optimization and Simulation
Abstract: This project uses HFSS (High-Frequency Structure Simulator) to simulate, develop, and analyze the performance of a helix antenna for (a particular purpose, such as broadband wireless or satellite communication). Because of their distinctive structural characteristics, helix antennas are well-suited for a variety of high-frequency applications by balancing compactness, high gain, and wide bandwidth. In this work, we parametrically analyze important design parameters including pitch, radius, number of turns, and wire …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 29–35 Read article
-
Optimization Of Mechanical Properties Of 500/7 Grade Ductile Cast Iron (DCI) By Using SMAW: Applications In Reinforced Composites And Thermoplastics Through Taguchi & GRA
Abstract: Welding, a critical manufacturing process, is broadly engaged to join metals and thermoplastics using heat, pressure, or both. This study inspects the Shielded Metal Arc Welding (SMAW) method to optimize welding parameters and improve the mechanical properties of Ductile Cast Iron (DCI) grade 500/7, a material widely used in high-strength and thermal conductivity applications in aerospace and automotive sectors. Using an L9 OA (orthogonal array), experiments were conducted on nine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 204–222 Read article
-
AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
-
Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
-
Quasi-Sobol-Based Optimization and Sigmoid Fuzzy Logic for Efficient Task Clustering in Decentralized Edge-Cloud Architectures
Abstract: Decentralized edge-cloud systems face a lot of issues in efficient task clustering, resource allocation, and real-time decision-making. Conventional methods mostly fail to work well under dynamic workloads and uncertain conditions. This study intends to optimize task clustering through quasi-Sobol-based optimization and Sigmoid Fuzzy Logic for resource allocation, enhancing decision-making accuracy and achieving efficiency in the system at the edge-cloud environment. A hybrid technique that has incorporated optimization via Quasi-Sobol sequences …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 9–18 Read article
-
Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles
Abstract: The transition toward sustainable transportation has brought electric vehicles (EVs) to the forefront of modern engineering innovation. Despite their environmental benefits and improved energy efficiency, EVs face major thermal challenges that affect performance, safety, and durability. Efficient thermal management of batteries, power electronics, and electric drive systems is vital to ensure reliability under diverse operating conditions. This study presents a detailed thermodynamic optimization and exergy-based performance analysis of hybrid thermal …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
-
RTL-to-GDSII Flow Optimization for Low-Power 32-bit RISC-V Processor
Abstract: This paper presents the implementation and optimization of a 32-bit RISC-V processor, transitioning from Register Transfer Level (RTL) design to final GDSII using Synopsys Fusion Compiler over 32nm technology node. The processor architecture is based on the RV32I base instruction set and incorporates a 5-stage pipeline to achieve a balanced trade-off between performance and design complexity. The design methodology involved RTL synthesis, gate-level netlist generation, and successive physical design stages …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
-
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
-
Injection Pressure Optimization for Non-edible Biodiesel Blends in CRDI Engines: A Comparative Study
Abstract: The growing demand for clean and sustainable energy has increased interest in biodiesel produced from non-edible oil sources. These fuels are renewable, biodegradable, and do not compete with food resources. However, the effective use of biodiesel blends in modern diesel engines requires proper control of fuel injection parameters, particularly injection pressure. In common rail direct injection (CRDI) engines, injection pressure strongly influences spray formation, air–fuel mixing, combustion behaviour, and exhaust …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 24–34 Read article
-
ML-Driven Optimization Framework for the Analysis, Design, and Development of Efficient Wireless Power Transfer Systems for EV Charging
Abstract: The fast uptake of electric vehicles (EVs) has heightened the necessity of effective, dependable and convenient charging systems. The Wireless Power Transfer (WPT) systems can be taken as a potential solution as they allow charging cells without contact, without any risks, and without any overcrowding; the efficiency of the system is strongly influenced by the alignment of coils, the fluctuations of air-gaps, the conditions of the loads, and geometrical arrangements …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
-
Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article