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18 articles for “particle swarm optimization”
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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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Particle Swarm Optimization to enhance Low Resolution Images
Abstract: In digital image processing enhancement of low resolution images is always a priority field. Construction of high resolution image from low resolution images by using discrete wavelet transform (DWT) to decompose the input low resolution image into several sub band images. The resolution of surveillance video frames can be improved by interpolation between pixels to generate a moderate enhancement. A hybrid novel method is used to enhance low resolution images …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 2, 2016 · pp. 17–21 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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For Analyzing Fraud in Credit Cards, Fuzzy Particle Swarm Optimization (FPSO) with Enhanced Support Vector Machine (ESVM) Classifier
Abstract: Credit cards are extremely significant in today’s economy. However, as the number of Credit Card clients grew, so did the number of Credit Card fraud instances. To fight the upward thrust in credit score card fraud, a number of techniques were recommended. In previous study, a unique fraud detection system was presented that uses similar cardholders’ behavioural patterns to construct a recent behavioural profile of a cardholder in order to …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 1–12 Read article
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Design and Simulation of Improved Particle Swarm Optimization Based Capacitor Placement in Distributed Generation System
Abstract: A major investigation was carried out to arrange the optimal condenser arrangement for the powerfactor adaptation, improvement of the voltage profile and the decrease of losses within theappropriation frameworks. In particular, a mechanical plant has large inductive loads withunpredictable load conditions and an incredibly low power factor. In most situations, the key reasonwhy a customer sends a condenser bank is to keep the power bank free from punishment. Power factoris …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 7, Issue 1, 2021 · pp. 1–10 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 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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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 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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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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Using Hybrid Method of PSO and Firefly Techniques for ELD
Abstract: This project presented an effective and reliable FFA technique for the economic load dispatch (ELD) problem using the PSO technique. The final results obtained that is, Hybrid algorithm (using PSO and Firefly algorithm) are compared with PSO and Firefly and found to be encouraging. This Hybrid algorithm is applied to find out the minimum cost for different power demands. With the compared results, we obtain that Hybrid algorithm displayed better …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 6–20 Read article
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Meta-Heuristic Technique Based Intelligent Overcurrent and Distance Relay Co-ordination with Novel Relay Minimization Technique
Abstract: Relay coordination is an important aspect to maintain proper power system operation and control. Relays must be organized in such a way that every main relay should have a backup relay and co-ordination time interval (CTI) between primary and back up and different zones of the relays should be maintained to achieve proper fault identification and fault clearance sequences. The relays should operate in minimum desirable time satisfying all the …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 1–15 Read article
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A Novel Honey Badger Optimization MPPT Control for a High Gain Non-Isolated DC–DC Converter for PV Applications
Abstract: The Pulse-width modulation (PWM), a technique used by DC-DC power converters, is currently a hot topic in a variety of applications, including those utilising renewable energy sources. Thus, A novel, The development of a very effective non-isolated converter. To extract the maximum PV system power. In varying weather conditions, maximum power is used to control PV system loading. The maximum power of a PV system is controlled using a fractional …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 38–50 Read article
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An New Approach For Image Steganography Using LSB and BPSO Optimization
Abstract: Abstract Presently, the technologies are evolving with high speed and everyday new innovations are done. As large amount of information shared between different users over the internet therefore the sharing of information is increasing day by day. In the conventional techniques of image steganography the idea of DCT and LSB approaches are used. But this technique is not optimum for securing the information. Thus, the BPSO optimization technique is proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 27–36 Read article
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Virtual Machine-Based Task Scheduling Algorithm
Abstract: Cloud computing is a type of internet-based computing that provides shared computer processing resources and other devices on demand. It is very useful for the applications which sharing their resource on different nodes and also cloud computing has more scalability. The performance and efficiency of cloud computing always depends on the performance of user tasks. Virtualization concept was introduced to improve the efficiency of cloud computing. Virtualization refers to creating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 18–26 Read article
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Trends and Techniques of Software Cost and Performance Measurement
Abstract: Software measurement is an evolving aspect of software engineering providing the necessary support to plan, execute, control, and improve the software development process. However, Software metrics constitute a set of acceptable variables of measurement encompassing diverse activities that require some level of quantification of which cost, and effort estimation are inclusive. This study was aimed at reviewing the various trends and techniques in software cost and performance measurement. The study …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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Routing Algorithms
Abstract: The algorithmic steps involved in the Particle Swarm Optimization Algorithm are as follows: Ant, Bee, GA, PSO, Ant-GA, Ant-PSO, Ant-Bee, GA-PSO, Bee-GA, Bee-PSO are the various optimization techniques used in packet delivery between networks. Routing is the process of transporting data from a source to a destination in a network. The simulation time and throughput determine the output of these algorithms. The experiments are carried out using the NS2 software …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 2, 2021 · pp. 8–16 Read article