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451 articles for “optimization”
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Multi-Objective Optimization of Distributed Generator in the Transmission System
Abstract: This paper proposes a multi-objective optimization method to determine the optimal size allocation of four different types of distributed generators, that is, TYPE-1, TYPE-2, TYPE-3, and TYPE-4 in transmission networks. In one such optimization strategy, distributed generators are injected after the Newton–Raphson method, a popular power flow analysis tool, has been applied first. A power system’s steady-state operating conditions, including voltage magnitudes, phase angles, line flows, and power losses, can …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 9–18 Read article
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Multi-Objective Optimization of Distributed Generator in the Transmission System
Abstract: This paper proposes a multi-objective optimization method to determine the optimal size allocation of four different types of distributed generators, that is, TYPE-1, TYPE-2, TYPE-3, and TYPE-4 in transmission networks. In one such optimization strategy, distributed generators are injected after the Newton–Raphson method, a popular power flow analysis tool, has been applied first. A power system’s steady-state operating conditions, including voltage magnitudes, phase angles, line flows, and power losses, can …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 9–18 Read article
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article
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Application of Jaya and PSO Algorithms for Optimal Sizing of Renewable Energy Sources in Power Systems
Abstract: The deregulation and privatization of the electrical sectors in recent years have caused the distribution systems to run closer to their load capacity limit. Due to the increased power loss resulting from this, the distribution system now operates at a higher voltage than the current transmission networks. For electric power system networks to be more reliable, efficient, and cost-effective, distributed generation must be positioned and sized optimally. Allocation helps minimize …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Synthesis and Characterization of Quinacridone Violet (Pigment Violet 19): Process Optimization and Colorimetric Evaluation
Abstract: Objective: This study focuses on the synthesis and characterization of Quinacridone Violet (Pigment Violet 19), a high-performance organic pigment known for excellent lightfastness and durability. The research aims to optimize the manufacturing process and evaluate the colorimetric properties of the synthesized pigment. Methods: PV 19 was synthesized via a multi-step process involving condensation, oxidation/hydrolysis, and ring closure/cyclization reactions. Two experimental batches (MM#973-A1/B1 and MM#974-A1/B1) were prepared with varying mole ratios …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 41–51 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A HybridMetaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 Read article
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Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
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Process Optimization of Copper Phthalocyanine Pigment PB15:3: A Sustainable Solvent Reduction Strategy for Industrial Applications
Abstract: Copper phthalocyanine pigments, particularly PB15:3 (beta-phase), represent cornerstone materials in the global colorants industry with applications spanning automotive coatings, printing inks, and engineering plastics. Conventional synthesis routes for PB15:3 necessitate copious volumes of high-boiling organic solvents – predominantly dimethylaminoethanol (DMAE) and aromatic hydrocarbons – posing significant environmental burdens and economic constraints. This study presents a systematic investigation of solvent quantity optimization in the pigment finishing process of CI Pigment Blue …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 21–40 Read article
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Particle Swarm Optimization Algorithm and Its Developments: A Review
Abstract: Fish schools and bird flocks are examples of natural phenomena that served as inspiration for the stochastic optimization method known as particle swarm optimization (PSO). According to the report, PSO has evolved since its introduction in 1995 because of researchers’ constant efforts to enhance and adapt the algorithm to meet different requirements and uses. Beginning with its origins and history, the paper covers several PSO-related subjects. With an emphasis on …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Optimizing Residential Spaces: The Role of Multifunctional Furniture in Enhancing Functionality
Abstract: Abstract: Multifunctional furniture refers to pieces of furniture that serve more than one purpose, often combining functionalities such as seating, storage, and/or transformation. This research paper explores the role and impact of multifunctional furniture in optimizing space utilization and enhancing functionality within residential environments. As urbanization intensifies and living spaces become increasingly constrained, the need for innovative furniture solutions that offer versatility, efficiency, and style has never been more pronounced. …
Published in International Journal of Housing and Human Settlement Planning · Vol. 10, Issue 1, 2024 · pp. 32–46 Read article
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Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
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Evaluation of Deep Learning Optimizers for Gujarati Handwritten Numerals
Abstract: Handwritten digit recognition is a fundamental task in the field of pattern recognition and computer vision with numerous applications. The development of deep learning algorithms has greatly increased the efficiency and accuracy of recognition of handwritten digits systems. However, the choice of optimizer plays a crucial role in determining the convergence rate and final performance of deep learning models. In this study, we provide a thorough analysis of many deep …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 34–41 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–27 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–5 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Design, Analysis, and Material Optimization of a Passenger Railway Bogie Manipulator for Enhanced Performance and Efficiency
Abstract: Abstract The study aims to improve the design and optimize the material used in passenger railway bogie manipulators to improve their performance and efficiency. It is an essential tool in railway maintenance for lifting and relocating heavy bogie assemblies. The primary goal was to reduce overall weight and material use while maintaining structural integrity and operational reliability. After verifying the system structure, the original 70 mm screw was reduced to …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article