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24 articles for “Multi-objective 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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Multi-objective Optimization of Weld Bead Geometry of Micro-plasma Arc Welded Titanium (Ti–6Al–4V) Alloy Sheets Using TOPSIS
Abstract: Titanium alloys are used in the manufacturing of aero engine components for their attractive, combined properties such as lightness, good strength-to-density ratio, corrosion resistance. In the present paper, titanium (Ti–6Al–4V) alloy sheets are butt welded using micro-plasma arc welding. Peak current, base current, pulse rate, and pulse width are considered as weld input parameters and weld bead geometry parameters, namely front width, back width, front height, back height, are considered …
Published in International Journal of Manufacturing and Materials Processing · Vol. 5, Issue 1, 2019 · pp. 37–48 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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A Modified Memetic Particle Swarm Optimization Algorithm for Sustainable Multi-objective Scheduling of Automatic Guided Vehicles in a Flexible Manufacturing System
Abstract: In the present work, a modified memetic particle swarm optimization (MMPSO) algorithm was applied for a sustainable multi-objective scheduling of automatic guided vehicles AGVs in a flexible manufacturing system (FMS). To achieve sustainable scheduling results for AGVs in FMS, it is imperative to integrate the work center schedule with the AGV schedule, and thereafter, minimize their distance travel and back-tracking in the FMS facility. The work center schedule in the …
Published in International Journal of Computer Aided Manufacturing · Vol. 4, Issue 1, 2018 · pp. 33–47 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
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AN INTEGRATED COMPUTER-AIDED PROCESS PLANNING SYSTEM FOR THE MANUFACTURING OF A LEAF SPRING
Abstract: Computer-Aided Process Planning (CAPP) is a key enabling technology for integrating product design and manufacturing in a Computer Integrated Manufacturing (CIM) environment. This paper presents the development and implementation of an integrated, feature-based CAPP system for the manufacturing of an automotive leaf spring assembly. The proposed system bridges the gap between CAD and shop-floor activities by directly mapping design features to manufacturing operations. High-level manufacturing features such as base profiles, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 10–23 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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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Experimental Realization of Constrained Optimization of Sliding Mode Controller Parameters with Modified Objective Functions
Abstract: An appropriately tuning of Sliding Mode Control (SMC) can be used to overcome the weaknesses like sensitivity to parameter variations, modeling errors and external disturbances. In this research article, Non-Dominated Sorting Genetic Algorithm (NSGA-II) based SMC with modified objective function and the best weight values have been evaluated to improve the performance of closed-loop level control system. Equivalent weights and importance weights are assigned to each term of an objective …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 8–25 Read article
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant Design
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 Read article
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ANALYSIS OF MULTI-STOREY BUILDING WITH DIFFERENT OUTRIGGER SYSTEM AND LOCATIONS
Abstract: ABSTRACT- Designing and constructing high-rise buildings requires structural systems that can efficiently resist lateral forces caused by wind and seismic activity. Outrigger systems are commonly used in tall structures to increase lateral stiffness, minimize building drift, and better use structural materials. This research examines the performance of multi-storey buildings incorporating various outrigger configurations, including traditional outriggers, belt trusses, deep beams, and shear wall systems. A response spectrum analysis is carried …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 1–15 Read article
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A Low-Carbon Economic-Load Dispatching Using PSO Technique
Abstract: This paper presents the solution of economic-load dispatch problem with quadratic cost function by using particle swarm optimization (PSO). PSO technique is useful at solving optimization problems with both single- and multiple-objective functions with non-convex, discontinuous, noisy and non-differentiable solution. The results show that PSO has the ability of minimizing the cost of productions in power system operations. Carbon emission characteristics of all kinds of power units are analysed against …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 4, Issue 1, 2018 · pp. 17–25 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Cost-Constrained Sensor Reduction for Deployment AwareIoT-Based Multiclass Water Quality Monitoring
Abstract: Large-scale Internet of Things deployment for water quality monitoring systems is bounded by the capital and several other costs associated with the multi-dimensional sensor. While prior research demonstrates strong predictive performance using multi- parameter physicochemical sensing, limited attention has been given to explicit sensing cost constraints and deployment feasibility. This work formulates multiclass water quality classification as a cost-constrained learning problem in which sensing dimensionality is minimized subject to bounded …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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FEA Analysis on Motor Support Assembly of Window Air Conditioner
Abstract: The objective of this paper is to analyze and optimize the motor support assembly of the window air conditioner. The redesigned motor support assembly is the combination of multiple parts of the existing product. In the motor support assembly, motor support base part is optimized to reduce the weight of the component with maximum stiffness for the applied loads and constraints. The CAD model of motor support assembly is performed …
Published in International Journal of Manufacturing and Materials Processing · Vol. 5, Issue 1, 2019 · pp. 49–56 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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Performance Evaluation of 45kW Low Temperature Proton Exchange Membrane Fuel Cell System Using Simulation Techniques
Abstract: AbstractThe Low-Temperature Proton Exchange Membrane Fuel Cell (LT-PEMFC) has gained prominence as a promising solution for clean and efficient energy generation, particularly in the automotive industry, where stringent emission norms and sustainability goals are driving innovation. LT-PEMFC systems offer several inherent advantages, including high energy conversion efficiency, low operational temperature, rapid start-up capability, and compatibility with hydrogen as a renewable fuel source. These characteristics make them attractive for commercial vehicle …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 25–39 Read article
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Engineering Solutions through Linear Algebraic Principles
Abstract: The field of mathematics concentrates on industrial problems and seeks solutions that are applicable to the industry. One area of mathematics that deals with the study of the physical sciences is called applied mathematics. Algebra is used by engineers to study and create structures, machinery, and electric circuits. They solve optimization equations, develop mathematical models to assess the safety and functionality of designs, and apply the results to analyze topics …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 26–33 Read article
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Appropriate Complementary Feeding Practice and Associated Factors among Mother of Children 6–23 Months in Mettu Town, South West Ethiopia
Abstract: Introduction: An appropriate diet is a critical component for proper growth and development of children. The first two years of life are a critical window for ensuring optimal child growth and development and Nutritional deficiencies during this period can lead to impaired cognitive development, compromised educational achievement, and low economic productivity which become difficult to reverse later in life. Objective: the aim of the study is to assess the appropriate …
Published in International Journal of Pediatric Nursing · Vol. 5, Issue 1, 2019 · pp. 52–62 Read article