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927 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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OPTIMIZATION OF EDM PARAMETERS USING PARTICLE SWARM OPTIMIZATION ALGORITHM
Abstract: Aluminium metal matrix composites are increasing the applications such as automobile industries, aerospace industries ,marine as well as construction. The use of nonconventional machining techniques in shaping aluminum metal matrix composites has generated extensive interest as the manufacturing of complicated contours such as dies. Electrical discharge machining (EDM) tends to be a promising technique for machining metal matrix composites. Hybrid Al6061 composite reinforced with 10% SiC and 4% Graphite particles …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 2, 2015 · pp. 1–9 Read article
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Optimal Tuning of PID Controller for a Continuous Stirred Tank Reactor (CSTR) Using Ant Colony Optimization
Abstract: Ant colony optimization (ACO)-based proportional integral derivative (PID) controller has been proposed for tuning optimized PID parameters in a continuous-stirred tank reactor (CSTR) process. In our proposed work, we have found that the tuning should have minimum value for rise time, peak time, settling time, etc. to be effective to design a CSTR system by optimal PID tuning. The simulation results of the proposed work reveal that the ACO-based PID …
Published in International Journal of Electrical Power System and Technology · Vol. 4, Issue 2, 2018 · pp. 32–38 Read article
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Optimization of Dynamic Load Carrying Capacity of Tapered Roller Bearing Using Advanced Optimization Technique
Abstract: In the design of tapered roller bearings, long life is the one of the most important criterion. Roller bearings are used mostly in mechanical equipment due to its low friction capability. Tapered roller bearing is selected and the objective function is to maximize dynamic load capacity. Design variables for the bearing include four geometrical parameters: the bearing pitch diameter, the diameter of the roller, the effective length of the roller, …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 23–42 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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Recent Trends in Computational Optimization: A Note
Abstract: Abstract This paper has investigated about the optimization techniques. It is record from the traditional techniques used in Optimization and Global Optimization to the recent techniques. This paper has given the special emphasis on the heuristics and meta-heuristics used in Global Optimization. It is also a record of the solution of the real-life problem in the field of Operation Research, Computer Science, Mathematics, Statistics, Economics, Management and Engineering Optimization Problem. …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 2, 2015 · pp. 1–5 Read article
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Modified Design Improvement Study and Optimization of a intake Manifold to Obtain Unequal Distribution of Velocity for Optimal Diesel Engine Performance
Abstract: Geometrical design of intake manifold has been found very significant for the better performance of an I.C. Engine. It becomes less effective at the intake manifold's runner's outlets due to an uneven flow distribution of the intake air. With an increase in velocity at the distribution channels, the presented study seeks to make this uneven velocity distribution nearly equal without requiring any additional significant changes to the entrance manifold's construction. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 9, Issue 1, 2023 · pp. 13–23 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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Thermodynamic Optimization of Renewable Energy Processes
Abstract: In the pursuit of sustainable energy solutions, the thermodynamic optimization of renewable energy processes plays a crucial role in enhancing efficiency and reducing environmental impact. This paper explores the principles and methodologies involved in optimizing various renewable energy systems, including solar, wind, biomass, and geothermal energy. By leveraging the fundamentals of thermodynamics, the study examines key parameters and performance indicators to identify optimal operating conditions and design configurations. The analysis …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 2, 2023 · pp. 31–37 Read article
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Optimal Power Flow Incorporating Static Var Compensator using PSO Algorithm
Abstract: Abstract This paper presents a Particle Swarm Optimization based algorithm for Optimal Power Flow (OPF) incorporating Static VAR Compensator (SVC). Optimal power flow is an essential tool for the proper operation and planning of modern power systems. The main objective of an OPF is to find a stable operation point which minimizes the active power generation cost while satisfying the system and network constraints as generator capacity limits, power balance, …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 1–10 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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Optimisation of Ratio of Center Distance of Adjacent Hole to Diameter of Pre-stressed Holes by FEA
Abstract: Residual compressive stress zone around a fastener hole is introduced by a process called pre-stressing. This is being done to reduce adverse effect of cyclic tensile stress and to restrict the fatigue crack growth due to material flaws or imperfect surfaces. The objective of this investigation is to optimize the inter-hole distance between adjacent cold expanded holes on a plate restricting the deformation of material between holes to the elastic …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 2, 2020 · pp. 40–48 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