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22 articles for “multi objective genetic algorithm”
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Optimization of Process Parameters in Wire EDM of HCHCrD2 using RSM-based Multi-objective Genetic Algorithm
Abstract: While precision is of paramount importance in machining of high strength conductive materials, Wire Electrical Discharge Machining (WEDM) is preferred. In the present work, experimental study has been carried to identify the appropriate process parameter settings for wire electrical discharge machining of high carbon high chromium D2 steel (HCHCrD2). The process parameters such as pulse peak current, pulse duration, pulse-off time, wire feed, wire tension and flushing pressure are considered. …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 6–10 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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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
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Optimization of Resin 3D Printing Process Parameters for Enhanced Dimensional Accuracy and Surface Roughness Using Hybrid Algorithm
Abstract: The advent of 3D printable dental resin has paved the way for minimally invasive dentistry, which helps to retain healthy tooth structure while yet producing pleasing aesthetic outcomes. However, printing these dental resins is being researched to improve their durability and therapeutic efficacy. Frontiers in dental restoration research can aim to fabricate occlusal appliances using resins with optimized parameters for enhanced functionalities. The present study aims to analyze the dimensional …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 26–37 Read article
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Optimization of Machining Process Parameters in Hard Turning of AISI D3 Tool Steel
Abstract: Machining operation is still irrefutably vital process in manufacturing, that involves complex relation of input parameters (like cutting speed, feed rate, depth of cut, nature of cooling, etc.) to output parameters (like surface finish, tool life, tool wear, machining time, machining cost, etc.). Numerous efforts were noticed in literature, to relate these parameters with each other so as to implement cost effective machining with least efforts. This paper presents one …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 1, 2017 · pp. 23–30 Read article
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Multi Objective Optimization of Weld Bead Geometry Parameters of Pulsed Current Micro Plasma Arc Welded Inconel 625 Using Enhanced Non-dominated Sorting Genetic Algorithm
Abstract: Pulsed Current Plasma Arc Welding (PCPAW) is one of the most widely used welding processes in sheet metal manufacturing industry. In any fusion arc welding process, the weld bead geometry plays an important role in determining the mechanical properties of the weld and hence, quality of the weld. Moreover, the geometry of weld bead involves several simultaneously multiple quality characteristics such as front width, back width, front height and back …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 1, 2013 · pp. 17–24 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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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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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Application of Genetic Algorithm in Resource Leveling and Allocation
Abstract: Resource leveling and allocation is one of the most important aspects in construction management. Critical path method and program evaluation review technique is frequently used for scheduling of construction projects. However, it is not capable of minimizing unwanted fluctuations in resource utilization profile. The basic idea of resource leveling is to minimize resource fluctuation. In addition to this, the paper uses the resource utilization period. This research paper presents an …
Published in Recent Trends in Civil Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 1–8 Read article
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Optimization of Production Scheduling using Multi-Tasking by Multi-Population Genetic Algorithm
Abstract: Production scheduling is an important activity for manufacturing and engineering, where it can have a major impact on the productivity of a production system. Traditional in-house manufacturing involves production machines with dedicated operators. Here, multitasking technique is used to optimize the production scheduling problem. In parallel machine scheduling, there are n jobs and m machines and each job needs to be executed on one of the machines during a fixed …
Published in Journal of Production Research & Management · Vol. 5, Issue 1, 2015 · pp. 18–26 Read article
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Application of Nondominated Sorting Genetic Algorithm for Multiobjective Optimal Design of Distribution Transformer
Abstract: AbstractIn today’s competitive environment, transformer manufacturers are faced with the exigent task of yielding optimum performance at lowest cost. Considering the aspect of energy shortage and increase in its cost, the complexity of achieving the optimal balance between transformer manufacturing costs and transformer performance is a herculean task, demanding great amount of attempts to reach satisfactory results. To cater with the problem of minimizing transformer losses and cost simultaneously, this …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 44–57 Read article
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A Review on Solar Multilevel Inverter for the Production of Free Energy Due to the Structure with Long-life Feature
Abstract: Multilevel inverters play a major role in medium voltage, high power and renewable applications. It is also used in certain applications where high switching frequency, and high output voltage gain are required. The switching transient period of a MOSFET should be minimal because a high dv/dt rate could result in permanent damage to the MOSFET. The harmonics present could cause many problems and so it has to be minimized. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 13–18 Read article
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Optimal Size and Location of Capacitor Bank for Reactive Power Compensation Using Genetic Algorithm
Abstract: Power system operators are always faced with the dilemma of how to reduce the transmission loss. There are many ways to attain this target. In this thesis, new method for optimal capacitor placement for transmission loss minimization is planned. Proposed methods are based on the optimal capacitor placement formulations, which allow the cost benefit analysis and multi-objective optimization consideration of reactive power support investment. For better design of proposed methods, …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 28–34 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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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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Prediction of Various Optimal Solutions for Desirable Performance Parameter of Non-edible Oils-based Biodiesel
Abstract: The use of energy has expanded a ton by virtue of the modification in the way of life with the progression of masses. This consistent expansion of energy request began the states of the fossil oil deficiency, regular effects for example nursery impact, an Earth-wide temperature boost and so on. Oil based products are restricted assets of energy; from now on, it is must to look for an elective asset …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 1, 2024 · pp. 25–29 Read article
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In Silico Molecular Docking Studies of Phytoconstituents Identified in Curcuma zedoaria Rosc. on Acetylcholinesterase: An Enzyme Target for Anti Alzheimer’s Activity
Abstract: Alzheimer’s disease (AD) is a chronic, progressive and disabling organic brain disorder characterized by disturbances of multiple cortical functions. Acetylcholinesterase (AChE) inhibition is thought to be a promising approach towards the treatment of AD. The aim and objective of the present study is to perform in-silico docking analysis of the major active constituents identified in Curcuma zedoaria Rosc. against AChE for anti-Alzheimer’s activity. In this perspective, phytoconstituents like bisdemethoxy curcumin, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 3, 2019 · pp. 9–14 Read article
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Numerical Simulation of Multiple Objective Power Flow Optimization in IEEE-30 Bus System Using Improved Particle Swarm Optimization
Abstract: OPF algorithms are an important research topic for the management and orchestration of profitable power structures. Perfect Power Flow is used to limit the objective work. This goal cap can be a single goal or various aim limits. In this study, we have carried out a perfect energy stream to limit the cost of fuel while fulfilling limitations, such as the tension and the electricity yields of the generator, which …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 23–28 Read article
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Supply Chain Design Considering Social and Environmental Risks
Abstract: The aim of the research is to design a supply chain taking into account social and environmental risks. In this research, an attempt was made to present a model that, by considering variables close to the real world, simultaneously considers cost and sustainability issues for designing a meat supply chain network, including locating facilities, using technology in them, how products flow in the network, etc. In order to examine the …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 35–43 Read article