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41 articles for “particle swarm optimization algorithm”
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Scheduling of PCB Assembly Using Particle Swarm Optimization Algorithm
Abstract: This paper deals with the problem of scheduling ‘N’ printed circuit boards (PCBs) on a single machine equipped with an automatic component interchange mechanism. The total number of different components required to process all ‘N’ PCBs is greater than the capacity of the spool. If the essential components are not on the spool, then one or more component switches must take place earlier than the PCB can be processed. The …
Published in Journal of Production Research & Management · Vol. 2, Issue 1-2-3, 2012 · pp. 43–59 Read article
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Comparative Performance Analysis of Swarm and Intelligent Evolutionary Techniques for Optimal Design of Distribution Transformer
Abstract: This paper addresses the method of optimal design of a three phase distribution transformer using Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Teaching-Learning-Based-Optimization Algorithm (TLBO). The design and analysis programs have been developed for constrained optimal design with cost as the objective function. The active part cost of the transformer has been minimized keeping in view BEE (Bureau of Energy Efficiency) standards and constraints. A design example on a …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 46–58 Read article
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Distribution Power Loss Minimization by Network Reconfiguration and DG Placement
Abstract: AbstractThe paper presents an efficient algorithm for network reconfiguration associated with DG allocation to minimize real power losses in radial distribution networks. Selective Particle Swarm Optimization algorithm (SPSO) is used to find new tie switches. Allocation of DG units has been done by new analytical approach. The proposed analytical method for optimal DG placement is developed based on a new mathematical formulation. DG type-I is used to solve the problem. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 1, 2018 · pp. 8–19 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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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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Application of Evolutionary Techniques for Controller Design of Inverted Pendulum
Abstract: AbstractInverted pendulum is the typical experiment platform for the study of control theories. It is an example of a nonlinear system for which stability becomes the necessary feature and also hard to achieve. The mechanism of a PID controller is employed to demonstrate the projected controller and controller is designed for acceleration as well as angle control. This paper emphasizes on the comparison between conventional PID, genetic algorithm (GA) and …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 3, 2019 · pp. 1–10 Read article
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Design Optimization of Three Phase Induction Motor: A Technological Review
Abstract: This paper is intended to review the significant development in design optimization of electrical motors in last decay. Contents in this review paper starts with introduction of induction motor and its role in the industry. Different optimization methods which can be applied to get best suited optimal design of induction motor to achieve best performance of machines are discussed. Genetic algorithm (GA) and particle swarm optimization (PSO) are two latest …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 1–9 Read article
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PSO Based Design and Analysis of Hybrid Optimization Technique using DC-DC converter with MPPT Technique
Abstract: The power voltage trademark curve of photovoltaic (PV) exhibits has several tops under fractional circumstances; The PV model worked at most extreme power gives more effectiveness. With the goal that the MPPT is used. The current Greatest Limit Point Following (MPPT) control strategies might neglect to work. However, the particle swarm optimization (PA) algorithm is more suitable for solving many serious optimization problems. Then this paper proposes a new algorithm …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 3, 2022 · pp. 9–18 Read article
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A Novel Algorithm for an Optimal Reconfiguration of a Power Distribution System
Abstract: This paper presents a new optimization method based on the Hybrid Symbiotic organism Search Algorithm (HSOS) for the reconfiguration of a power distribution network for minimizing active power losses and maximizing voltage at each node. The HSOS method is a new metaheuristic algorithm that improves the Symbiotic organism Search (SOS) algorithm. This new technique is a combination of the SOS and the PSO (Particle Swarm Optimization) algorithm. It is applied …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 1, 2020 · pp. 9–17 Read article
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Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Abstract: Interconnection of the power system utilities and grids presents a formidable challenge in front of design engineers. With the interconnections, power system has emerged as a more complex and nonlinear system. In recent years, small signal stability issues have gained much importance along with the conventional transient stability issues. Transient stability of the power system can be achieved with high gain and fast acting automatic voltage regulators (AVRs). However, AVRs …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 16–25 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 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
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Speed Control of PMSM using Optimization Methods
Abstract: AbstractThis paper represents a modelling and optimized design of speed control for a permanent magnet synchronous motor (PMSM). The PI controller of inner current loop is optimized using evolutionary algorithm like Particle Swarm Optimization (PSO) method. To illustrate effect of proposed method, the performance of evaluationary algorithm is compared with traditional optimization method i.e., Ziegler-Nichols method. The main objective of the proposed work are, develop mathematical modelling of PMSM motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 8–16 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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An Innovative Fuzzy-Enhanced Black Widow Spider Optimization for Energy-Efficient Cluster Communication Through the Selection of the Ideal Cluster Head
Abstract: This paper presents a novel approach to enhance energy efficiency in cluster-based wireless sensor networks (WSNs) by integrating fuzzy logic with the black widow spider optimization (BWSO) algorithm. The focus of the suggested fuzzy-enhanced BWSO approach is on cluster head selection, which is essential for lowering energy consumption and enhancing network performance. The program uses fuzzy logic to assess a number of factors, including network density, node proximity, and energy …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 28–34 Read article
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Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 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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Design of PID Controller using PSO Algorithm for PFR System
Abstract: AbstractThe paper presents to design Proportional-Integral Derivative (PID) controller parameters for PFR system using Particle Swarm Optimization (PSO) Algorithm. The design goal is to minimize the optimal parameters of the integral errors and reduce transient response by minimizing overshoot, settling time and rise time of step response. First an objective function is defined, and then by minimizing the objective functions using PSO Algorithm. The PFR system is very important equipment …
Published in Current Trends in Signal Processing · Vol. 8, Issue 3, 2018 · pp. 24–28 Read article
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Adaptive Selective Harmonic Elimination Method for Quasi Z-Source Cascaded Multilevel Inverters in Varying DC Voltage Condition
Abstract: AbstractIn this paper, a new control method for adaptive selective harmonic elimination in a quasi Z-source cascaded multilevel inverter (QZS-CMI) is proposed. According to real condition, the DC sources feeding the inverter are considered to be varying in time. In this condition, the switching angle and shoot-through duty ratio for each module are obtained off-line for different DC source values using particle swarm optimization (PSO) algorithm. The off-line data set …
Published in Trends in Electrical Engineering · Vol. 4, Issue 3, 2014 · pp. 1–9 Read article