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1984 articles for “optimality” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Optimization of CMOS Current Mirror Load-based Differential Amplifier using Hybrid Cuckoo Search and Particle Swarm Optimization Algorithm
Abstract: Optimization of CMOS based analog circuits is becoming a practical solution for complex analog modules. There are number of evolutionary algorithms presented to optimize the analog circuits in different reported literatures. During optimization process, the optimal result may not be obtained with only individual algorithm or requires a more time. Therefore the hybrid algorithm of two or more algorithms is more effective method to obtain the goal. The Particle Swarm …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 71–78 Read article
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Evolutionary Particle Swarm Optimization (EPSO) based technique considering Voltage Stability Margin for Reactive Power Reserve Optimization
Abstract: Reactive power reserve and voltage stability are one of the important parameters required for proper operation of the electrical power system. Voltage stability covers a broad span of phenomena in power systems and its applications. Voltage stability is defined as ability of power system to assist fixed bearable potential at every single bus of the system under standard operating conditions and when put through to a disturbance. At any instant …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 2, 2021 · pp. 36–41 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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ATC Calculation in OPF Environment Using Hybrid Grey Wolf Optimizer and Particle Swarm Optimization
Abstract: Evolution of hybrid optimization provides new research direction in the real world problem solving by using more than one optimization techniques for obtaining speedy convergence and/or global optimal solution or solution near the global optimal. In this paper, a novel hybrid particle swarm optimization (PSO) and grey wolf optimizer (GWO) technique is used to calculate the available transfer capability in an optimal power flow environment. The proposed method has been …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 84–93 Read article
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Design and Optimization of Locomotive Suspension System Using Ant Colony Optimization
Abstract: The objective of design and optimization of helical spring is weight reduction with adequate strength and stiffness. Weight reduction of helical spring will contribute to the reduction of unsparing mass. This will help in improving the vibration characteristics and hence, the riding qualities of a train. Optimization is the act of obtaining the best result under given circumstances. Conventional design aims at finding an acceptable design which merely satisfies the …
Published in Trends in Machine design · Vol. 3, Issue 2, 2016 · pp. 44–49 Read article
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Optimize Throughput by Estimating Optimal Packet Length for Wireless Sensor Node
Abstract: AbstractA Wireless Sensor Network (WSN) is employed for monitoring and control of distributed sensing points with the use of Sensor Nodes (SN). The sensor nodes form a wireless network to disseminate the sensed data over to the base station for its processing and analysis. For a wireless network, effective and efficient communication of data from the sensor node to base station plays a vital role in estimating the life of …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 37–45 Read article
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Predictive Modeling and Optimization of Tensile and Flexural Strength in FDM 3D Printing Using Decision Trees and Bayesian Optimization.
Abstract: This research investigates predictive modelling and optimization technique for the tensile and flexural strength of PlA (Poly Lactic Acid) in Fused Deposition Modelling (FDM) 3D printing. Employing Decision Trees and Bayesian Optimization enhances comprehension and control of 3D printing process. Precise model predicts PLA material properties based on input parameters. Methodology involves rigorous data preprocessing, encompassing, cleaning, transformation, and normalization. Hyperparameter optimization via grid search systematically explores configurations, optimizing model …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 203–214 Read article
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Optimal Location of SVC by Particle Swarm Optimisation Techniques in Power System Networks
Abstract: AbstractIn power system networks, voltage stability is a main concern for safe operations. But recently due to their stressed operations for increasing load, voltage instability and voltage collapse are evitable, which are main problems in the power system. In this paper, the particle swarm optimization (PSO) technique have been used for optimal location of Static Var Compensator (SVC). The Optimal value of SVC at optimal location through PSO technique is …
Published in Journal of Instrumentation Technology & Innovations · Vol. 10, Issue 1, 2020 · pp. 12–18 Read article
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Finding optimal solutions for an economic load dispatch problem considering thermal, solar and wind power plants by using salp swarm and northern goshawk optimization algorithms
Abstract: This paper proposes a new variant of the traditional economic load dispatch (NELD) problem. Unlike traditional economic load dispatch (TELD), generating sources in NELD are diversified with different types, including thermal, wind, and solar power plants. The reduction of total fuel consumption from thermal power plants is the main objective of this study. The Salp swarm algorithm and Northern Goshawk optimization are utilized to find the optimal solution for NELD. …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 1–11 Read article
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Optimization of Helical Spring Weight using Meta-heuristic Algorithms
Abstract: Optimization is the act of obtaining the best results under given circumstances. A mathematical theory of optimization is highly in use and is being applied to design where design function can be expressed mathematically. Many techniques like Linear Programming, Branch & Bound technique, Dynamic Programming methods are available to solve optimization problems. But these conventional Methods suffer from certain drawbacks like sticking at suboptimal solution, inefficiency in handling problems having …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 21–28 Read article
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Determination of the Optimal Generation Location using Particle Swarm Optimization
Abstract: This paper presents an optimization approach to determine the optimal location for installing a new generator in which the technical, economic and environmental aspects are all taken into consideration. The location that yields the minimum fuel costs, emission and system loss is considered as the optimal generation location. The formulated objective function and its constraints compose an optimization problem, which is solved using particle swarm optimization (PSO). The proposed PSO-based …
Published in Journal of Power Electronics and Power Systems · Vol. 2, Issue 2, 2012 · pp. 34–44 Read article
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Optimization of a new Bebq2/BCP-based OLED structure for optimum performance
Abstract: Opto-electronic devices exhibit highly nonlinear current–voltage (I–V) characteristics that significantly affect charge injection, transport, and recombination, evaluating their performance remains a difficult challenge. Device optimization is a key research goal in organic light-emitting diodes (OLEDs), as the thickness and arrangement of individual functional layers greatly influence electrical and optical responses. For a suggested Bebq2/BCP-based OLED structure, this work methodically examines the movement of charge carriers, their transport behavior, and the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Robust Design of Damping Controller for Power System using a combination of Flower Optimization algorithm and Optimal Control Theory
Abstract: The power system experience low frequency oscillations due to various disturbances. It is verynecessary to damp these oscillations else it will endanger the system security and stability. High gainand fast acting excitation systems do not provide the necessary damping torque and it can provide thesufficient synchronising torque only. Lack of damping torque causes the oscillations of generator rotor,So, Power system stabilizer (PSS) is used in the proposed work along with …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 3, 2021 · pp. 15–24 Read article
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Job Shop and Flexible Job Shop Scheduling Problems: Heuristic Optimization
Abstract: The development of modern wide-area engineering problems, as well as recent trends towards the creation of sustainable engineering systems for daily objectives have given birth to complex studies addressing technical, but also economical and environmental, aspects related to simple or multi-objective optimization problems. Recently, heuristic and (meta) heuristic approachesthat apply combinations of different heuristics with or without traditional search and optimization techniques were proposed to solve such problems. This paper …
Published in Journal of Production Research & Management · Vol. 10, Issue 1, 2020 · pp. 25–31 Read article
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Optimization of V/F Control in Asynchronous Motors Using Adaptive Bee Colony Optimization
Abstract: : Asynchronous motors play a pivotal role in various industrial applications, utilizing electromagnetic induction to convert electrical energy into mechanical energy. This paper provides an in-depth exploration of their design principles, focusing on the rotor, stator, and coil configurations. Induction motors are categorized into single-phase and three-phase types, each suited to different power supply configurations and operational requirements. The study outlines a comprehensive methodology for modeling and simulating induction motor …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 67–86 Read article
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On the Optimisation of fundamental frequency to determine the Optimal Design of Bracing System for A Three Storey One Bay Two Dimensional Planar Structure
Abstract: Bracing systems are useful to improve the resistance of multi-storey buildings subjected to wind forces acting in lateral direction on the structure. The main focus of this paper is to find the optimal design of the bracing for a three storey one bay two dimensional planar structure. The eigen frequency of the structure is maximized to determine the relative density using a stress based criteria of each element for every …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 55–59 Read article
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Numerical Simulation of Hybrid GSA Based Optimal Power Flow for Multi Objective Optimization Strategy
Abstract: Restricted nonlinear optimization in electric power systems engineering is a topic of Optimal Power Flow (OPF) that has been extensively investigated. It has been a long and remarkable history for the OPF, which was founded in the 1960s, of research and publication. Newcomers to OPF research face a challenging undertaking since there is so much information available and because OPF's popularity within the electric power systems community has prompted authors …
Published in Journal of Instrumentation Technology & Innovations · Vol. 11, Issue 3, 2021 · pp. 24–32 Read article
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Reactive Power Optimization using Particle Swarm Optimization with Time Varying-Acceleration Coefficient
Abstract: This paper presents an approach for the solution of reactive power optimization problem. In deregulated power system operations, reactive power optimization helps the system operator to maintain system security with the economy. The application of the time-varying acceleration constant-particle swarm optimization (TVAC-PSO) method for the solution of this problem is emphasized. The real power losses of the system are minimized satisfying power balance, generator reactive power operating limit and voltage …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 1–10 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article