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1940 articles for “optimality” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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FEA Analysis for the Optimization of an Extrusion Die
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 The process of extrusion plays a vital role in the production process of different parts in various environments. Even though there is lot of variations in the production of parts during extrusion with conventional processes to the latest automation in the manufacturing. There is a need to develop different die designs by varying input processes variables for the extrusion process in an optimum manner. …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 10–21 Read article
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A Review on Process Parameters Optimization of WEDM for Metal Matrix Composites
Abstract: Wire electrical discharge machining (WEDM) is a thermal spark erosion type cutting process used for precisely machining parts with intricate shapes and sharp edges that are difficult to machine by the conventional machining processes. The WEDM process is derived from conventional EDM sparking phenomena utilizing the noncontact type technique for material removal. From the time of introduction of the process, WEDM has emerged as alternative for production of micro-scale parts …
Published in Journal of Experimental & Applied Mechanics · Vol. 7, Issue 1, 2016 · pp. 1–6 Read article
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Statistical Optimization of the Medium for the Production of α-Amylase by the Mutant Aspergillus flavus MS-12 Using Response Surface Methodology
Abstract: Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The present study is concerned with the improvement of Aspergillus flavus S-12 for α-amylase production. The mutant’s ability to produce α-amylase increased 1.24 times after …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 1, Issue 3, 2011 · pp. 13–23 Read article
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Minimizing the Synthesis Time of Nanostructured Powders in Planetary Mills using Biogeography-based Optimization (BBO) Algorithm
Abstract: A key objective in processing of nanostructured powders via high-energy ball milling is to minimize the synthesis time. This paper presents the application of biogeography-based algorithm for optimization of milling parameters in order to minimize the synthesis time of nanostructured powders in planetary mills. At first a direct relationship between the inverse of the milling time and the power of the planetary mill was established, which allows the validation of …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 1, 2014 · pp. 6–18 Read article
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A Comparative Study on Evolutionary Algorithms to perform Isogeometric Topology Optimisation of Continuum Structures using Parallel Computing
Abstract: The optimization of computational performance along with the topology optimization of structures is the main focus of this study. The computational performance of the program is enhanced using two search engines in parallel. The search process is done using a least pop size which has reduced the number of computations required to optimize the objective function. The geometry can be exactly represented using isogeometric basis functions where the same basis …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 51–58 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique
Abstract: 3D printing is a quickly evolving process that builds the desired shape by layering on material. In the era of modern production, additive manufacturing has grown in significance due to its user-friendliness. By using this technique, one can produce complex & intricate geometries with much ease when compared to conventional manufacturing. With the increased demand for 3D printing, consideration towards strength quality and other mechanical properties is also increasing progressively. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 601–609 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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An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python
Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article
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Enhancing Production Line Efficiency: Simulating and Optimizing Single and Parallel Line Processes
Abstract: During a time of fast-paced industrial growth, increasing production line effectiveness is a core issue for manufacturers looking to maximize output, reduce waste, and stay competitive. This study explores the use of simulation-based optimization methods to enhance single and parallel production line designs. Stepping beyond traditional trial-and-error methods, the research utilizes Siemens Tecnomatix Plant Simulation to simulate actual manufacturing scenarios, considering intricacies like buffer capacities, machine sequencing, and event-driven scheduling. …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 22–32 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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A Memory-Based Genetic Algorithm for Optimization of Power Generation in a Microgrid
Abstract: Due to advancement in power electronics field, it is becoming more feasible to integrate renewable energy into power grid. Renewable energy sources are prompting more and more small investors to invest in generation and distribution of renewable energy at microgrid level. The increased competition requires energy producers to offer energy at minimum possible cost to gain the confidence of consumers, which needs efficient methods to schedule energy generation among the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 29–38 Read article
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SMART SOLAR GARAGE WITH PSO-BASED OPTIMIZATION FOR ENERGY AND VEHICLE PERFORMANCE
Abstract: The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 6–18 Read article
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A Comparative Study of the Optimum Health and Health-Related Physical Fitness Level of State Level Players Boys and Girls at MBSPSU, Patiala
Abstract: The study’s goal was to compare state-level player girls’ and boys’ optimal health and health-related physical fitness. Thirty individuals, including male and female state-level players from the Patiala district of Punjab, India, were chosen via purposeful random sampling. There were two distinct groups formed: There were fifteen participants in each group (15 females and 15 boys), with Group 1 being made up of girls and Group 2 being made up …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 22–27 Read article
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Representation-Theoretic Symmetry Reduction and Fuzzy-Grey Optimization of Modular Vibration Systems
Abstract: This paper presents a representation-theoretic framework for symmetry-aware vibration control in modular structural systems. Exploiting cyclic symmetry, the mass, damping, and stiffness operators are block-diagonalised into irreducible representations, reducing the full structural dynamics to a collection of lower-dimensional modal subsystems. This decomposition provides both computational efficiency and a rigorous mathematical description of symmetry-preserving dynamic behaviour. To account for imperfections arising in practical implementations, near-symmetry defects in stiffness and damping are …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 22–30 Read article
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Energy Management of a Solar Powered Electric Vehicle with Multiple-Energy Storage via Optimized Fuzzy Controller
Abstract: The optimum energy management is the main challenge of powered electric vehicles (EVs) with multiple energy storage systems. The solar powered EVs are enabled with multiple energy sources and storages, and so, achieving the optimum energy management schedule is a complicated optimization problem. This paper develops an optimized fuzzy controller using genetic algorithm (GA) for energy management of solar powered EV equipped with photovoltaic cells as well as two power …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 3, 2016 · pp. 28–38 Read article
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Optimal Floor Design of Production Workshop for Manufacturing Unit Using Genetic Algorithm for Efficient Performance
Abstract: Abstract: In today’s competitive market, producing industries need to satisfy additional numerous queries from the market, like widening the merchandise ranges, increasing quality and precise the delivery time. Manufacturing sector of production industries spends a huge amount of money and wealth on design and reallocation of available facilities. For an organization to have an effective and efficient manufacturing unit, it is important that optimal usage and design of facility layout …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 1, 2019 · pp. 19–28 Read article
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Latest Research Trend of Optimization Techniques and Considerable Parameters in Wire Electrical Discharge Machining (WEDM): Review Article
Abstract: Wire electrical discharge machining (WEDM) is a non-conventional machining method with unique capabilities. WEDM offers a better alternative or sometimes the only alternative to produce complex shaped features and components of difficult-to-machine materials. In today’s highly competitive manufacturing industries, manufacturer’s ultimate goal is to produce high quality product with less time and cost constraint. To achieve these goals, one of the considerations is by optimizing the machining process parameters such …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 30–53 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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Artificial Intelligence-Based Optimization of Mechanical and Biocompatible Properties in Polymer Composite Implants
Abstract: Artificial Intelligence (AI) has already become a ground-breaking tool of streamlining polymer composite implants to enhance both mechanical strength and biocompatibility simultaneously. This paper recommend an AI-based multi-objective optimization model, which integrates the selection of materials, structural modelling, and biological evaluation. The in vitro biocompatibility indicators, including cytotoxicity and cell adhesion, can be used to model mechanical behavior, e.g. stress-strain behavior and fatigue behavior. To arrive at an optimal material …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article