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41 articles for “particle swarm optimization algorithm”
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Cost Efficient Low Convergence ONU Placement Algorithm for Deployment of Fiber-Wireless (FiWi) Access Networks
Abstract: AbstractFiber-Wireless (FiWi) access networks provide an impressive platform for the emerging future applications by integrating the merits of optical networks and wireless networks. It offers reliability, robustness, long distance communication, high bandwidth of optical network and mobility, flexibility at a lower cost of wireless network. One of the major issues of FiWi network is its installation cost, which depends on the number of ONUs present in the network. In order …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 1, 2016 · pp. 25–41 Read article
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Economic Load Dispatch with PEV Using Evolutionary Techniques
Abstract: In this paper, the Economic Load Dispatch (ELD) problem is solved by using four different evolutionary techniques Social Spider Algorithm (SSA), Particle Swarm Optimization (PSO), and Teaching Learning Based Optimization (TLBO) with PEV on 20-unit thermal generation station. The most recent Self-Learning Teaching Learning Based Optimization (SL-TLBO) is introduced, including a weighting factor w for adjusting the learning range. A comprehensive study demonstrates that the unique algorithm has the potential …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 22–33 Read article
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A Novel Approach for Design and Optimization of Slot Antenna for WLAN Applications
Abstract: The simulation, and analysis of a micro-strip fed slot antenna array intended for operation in the 2.4 GHz ISM (Industrial, Scientific, and Medical) band, which is widely used for wireless technologies such as Wi-Fi and Bluetooth. A slot antenna is a type of antenna where a slot (cut or gap) is made on a metal surface, and it radiates electromagnetic waves. Utilizing ANSOFT HFSS software, the antenna's performance is optimized, …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Optimizing Residential Energy Costs with PEV-based Energy Storage and Particle Swarm Optimization
Abstract: This research addresses the critical challenge of optimizing electrical energy usage amidst the increasing integration of variable renewable energy sources and the widespread adoption of electric vehicles (EVs). The core objective is to alleviate the energy cost burden for residential consumers by leveraging the capacity of Plug-in Electric Vehicles (PEVs) as an auxiliary energy source. Through innovative utilization of PEVs for both charging and discharging actions based on dynamic electricity …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
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Node Deployment Techniques for Link Prediction in Heterogeneous Social Networks
Abstract: AbstractThis research analyses the coverage problem in heterogeneous social network system with two types of sensor nodes having different sensing ranges. The Particle Swarm Optimization (PSO) algorithm is implemented for coverage optimization in heterogeneous network system. This algorithm is used for finding the optimal deployment of the sensor nodes by using specific fitness function. The performance of sensor nodes after running PSO algorithm is evaluated by using Euclidean distances for …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Optimization of ED Problems of Interconnected Power System Using Particle Swarm Optimization
Abstract: This paper proposes an effective and useful evolutionary-based method to solve the economic load dispatch (ELD) problem. This paper introduces particle swarm optimization (PSO) technique for solving the economic dispatch (ED) problem in power system. ELD problem is really the solution of a large number of load flow problem with equality & inequality constraints. In this paper, a PSO technique for solving the ELD problem in power system is proposed. …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 1, 2015 · pp. 1–8 Read article
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Improved Genetic Algorithmic Rule Mistreatment Hybrid Initial Population to Resolve Travelling Salesman Drawback
Abstract: Abstract: The algorithmic genetic rule is beneficial to resolve the optimization issues. It performs genetic operators to solve optimization issues. Travelling salesman problem (TSP) may be a well-known optimization downside, but TSP is beneficial to resolve the several difficulties of science and engineering. In this paper, to determine TSP, algorithmic genetic rule is applied. An initial hybrid population is generated in an algorithmic hereditary rule. The coupling of the initial …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 46–50 Read article
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Optimal Generation Rescheduling for Congestion Mitigation using New Variant of Derivative Free Optimization Method
Abstract: Proposed work describes the process of rescheduling active power generation to alleviate transmission congestion in a most economic manner considering all the system constraints. Most severe line outage has been considered as the congested line using LODF factor. The concept of GSF has been used for selection of generators to be rescheduled for congestion management. Time-Varying Acceleration Constant-Time-Varying Inertia Weight Particle Swarm Optimization (TVAC-TVIW PSO) based optimization algorithm has been …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 58–64 Read article
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Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems
Abstract: Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 8–17 Read article
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Voltage Stability Study based on New Evolutionary Algorithm
Abstract: This paper describes a PSO optimization algorithm for voltage stability study and its enhancement based on proximity and mechanism analysis. This theorem is implemented based on Gershgorin’s Circle Theorem. The control variables responsible for enhancing the voltage stability limit are generator bus voltages at PV buses, the taps of On-Load –Tap-Changing Transformer. (OLTC), change in reactive power etc. The objective function of proposed algorithm is to maximize the minimal diagonal …
Published in Trends in Electrical Engineering · Vol. 7, Issue 2, 2017 · pp. 21–31 Read article
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Mitigation of Peak to Average Power Ratio in Orthogonal Frequency Division Multiplexing through SOP-PTS
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a popular multicarrier modulation technology extensively employed in 4G wireless communication systems to transmit data over a dispersive channel. To address the Peak-to-Average Power Ratio (PAPR) issue in OFDM, a technique called Partial Transmit Sequence (PTS) is commonly utilized. The PTS method involves dividing the data block into non-overlapping sub-blocks and then combining them using phase factors to mitigate PAPR. However, the conventional PTS …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 32–39 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 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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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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Maximum Power Point Tracking Using PSO with Boost Converter
Abstract: Maximum power point tracking methods are used for extraction of maximum power from solar PV panels. The characteristics of non-line panel hinder the power output from the solar panel. Earlier proposed methods like hill climbing, incremental conductance suffer from steady state and lower efficiency. This proposed evolutionary computation technique assures nearly zero steady state oscillation and faster convergence of tracking maximum power. The PSO algorithm is tested on a DC-DC …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 7, Issue 2, 2016 · pp. 17–27 Read article
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Swarm Intelligence: Nature-Inspired Problem Solving
Abstract: Swarm Intelligence (SI) is a computational paradigm inspired by the collective behavior of natural systems, such as flocks of birds, schools of fish, and colonies of ants. It involves decentralized, self- organized systems where simple agents follow simple rules, yet their interactions lead to complex global behaviors. SI has gained significant attention in recent years due to its potential applications in solving optimization problems, routing, scheduling, and artificial intelligence tasks. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 Read article
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Designing an Energy Efficient Induction Motor: Advanced Computational Intelligence Technique
Abstract: Abstract—This paper presents an advanced computational intelligence technique (CIT), modified particle swarm optimization (MPSO) for designing energy efficient three-phase induction motor (DEEIM) including active power loss effect. PSO performs well for small dimensional and less complicated problems but fails to locate global minima for complex multi-minima functions. Even if PSO algorithm is easy to implement and has been shown to perform well on various power system optimization problems, they may …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 5–13 Read article
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Application of Accelerated PSO and ANN for Optimal Scheduling of Hydrothermal System
Abstract: A short range problem of hydrothermal scheduling of hydrothermal system with cascaded is analyzed in this paper. The net head, water discharge rate and water transport delay between connected reservoirs is considered in the problem. The developed algorithm is demonstrated on a test system consisting one thermal plant and four cascaded hydro plants. The results obtained by the APSO technique are compared to PSO and conventional technique. It is found …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 42–52 Read article
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SMART SOLAR GARAGE WITH PSO-BASED OPTIMIZATION FOR ENERGY AND VEHICLE PERFORMANCE
Abstract: The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 6–18 Read article