Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 77 for “"Particle Swarm Optimization (PSO)"”.
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An Automated Optimal Design of a Fan Blade Using an Integrated CFD/MDO Computer Environment
… (CFD) and non-linear Multidisciplinary Design Optimization (MDO) algorithms. Well known evolutionary type optimization algorithms include the Particle Swarm Optimization (PSO), Response Surface Optimization (RSO) and Genetic (GA) Algorithms. The benchmark case study is the optimal design of a …
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Design optimization of articulated vehicles with autonomous steering control
… synthesis is formulated as a bi-layer design optimization problem. Particle Swarm Optimization (PSO) and Differential Evolution (DE) are introduced and tested. Selected simulation results are presented and discussed, and the insightful findings may be used as guidelines for developing …
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Machine Learning for Performance Aware Virtual Network Function Placement
… max depth hyperparameter is then optimized using Particle Swarm Optimization (PSO) and its performance is improved by an average of 44μs through the introduction of the Depth-Optimized Delay-Aware Tree (DO-DAT).
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Dynamic electronic asset allocation comparing genetic algorithm with particle swarm optimization
… 2) Comparing performance of Genetic Algorithm to Particle Swarm Optimization (PSO) algorithm. This research problem implemented Genetic Algorithm in C++ and used QT Data Visualization for displaying three-dimensional space, pheromone, and Terrain. The Genetic algorithm implementation maintained …
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Real-time 3D face localization and verification
… a technique that uses a combination of the particle swarm optimization (PSO) and the iterative closest point (ICP) algorithm to accurately align a 3D face model to the measured depth data. With the face localized within the image, we can compare a database 3D face model to the depth image to …
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A modified technique in RFID networking planning and optimization
… use of Genetic Algorithm (GA), Bacteria Foraging Optimization (BFO) and Particle Swarm Optimization (PSO) Algorithm. In this research, PSO algorithm was used in the optimization process as it was considered as a very useful, efficient and well known algorithm. However, there are no parameters …
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Optimization algorithms for loading military diesel generators
… need, this study compares the use of several optimization algorithms including particle swarm optimization (PSO), bat algorithm (BA), cuckoo search (CS), first fit decreasing (FFD) bin packing, and an exhaustive search (ES) method. It is found that at large enough search spaces, the …
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An Intelligent Guidance System for Computer-Guided Surgical Training
… the guidance based on kinematic equations with particle swarm optimization (PSO). For the force guidance system, self-adjusting fuzzy sliding mode controllers are proposed with virtual fixtures. To generate a training task, modeling specifications and a text-based task description method are …
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Identifying near-earth asteroid targets for human exploration using particle swarm optimization
… to help identify these targets is the particle swarm optimization (PSO) technique, a metaheuristic swarming algorithm. The optimizer that was developed minimizes the total mission delta-V, given a particular epoch date, whilst optimizing four time parameters, namely, the ideal time to …
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An improved firefly algorithm for optimal microgrid operation with renewable energy
… compared to FA, Differential Evolution (DE), Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA).
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Initial Orbit Determination of Uncooperative Satellites Using Particle Swarm Optimization From the Point of View of a Novel Observer Orbit
… from the point of view of novel orbits using particle swarm optimization (PSO) algorithm is explored. Two cost functions for the PSO algorithm are investigated. The first cost function investigated uses the solution to Lambert’s Problem to estimate the initial velocity of the target. The …
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Magnetocardiography in unshielded environment based on optical magnetometry and adaptive noise cancellation
… (LMS) algorithms and on two heuristic optimization techniques, namely, Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The use of these algorithms is investigated for suppressing the power line generated 50Hz interference and recovering of the weak magnetic heart signals …
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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
… integration of fuzzy logic, neural networks and optimization techniques have not only solved the issue of “black box” in Artificial Neural Networks (ANNs) but also have been effective in a wide variety of real-world applications. Despite of attracting researchers in recent years and outperforming …
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Design a photovoltaic system based on maximum power point tracking under partial shading
… The MPPT algorithm has many methods like P&O and PSO. P&O it had limitation that is not capable to cover the multi-peaks curves. Beside that the PSO method is more effective in partial shading condition. The voltage and current of MSX60 PV module are subjected to various insolation conditions. The …
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Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier
… This research selected three commonly used swarm-based metaheuristic algorithms – Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Cuckoo Search (CS) – to perform component-wise analysis. As a result, the study able to address premature convergence problem in PSO, poor …
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Energy management system of a microgrid with distributed generation
… continues to supply power to critical loads. An optimization algorithm is needed to minimise the cost of the energy drawn from the grid, generated within the grid and consumed by the loads. In this thesis, two optimization techniques namely Particle Swarm Optimization (PSO) and Differential …
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Self-Scaling Evolution of Analog Computation Circuits
… fabrics. It operates by utilizing a Particle Swarm Optimization (PSO) algorithm that operates synergistically with a Genetic Algorithm (GA) to adaptively scale and translate the functional range of computational circuits composed of high-level or low-level Computational Analog …
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Electronic warfare asset allocation with human-swarm interaction
… with the solution convergence in some fashion. Particle Swarm Optimization (PSO) approaches this problem with accurate and rapid approximation to the electronic warfare asset allocation problem (EWAAP) with near-real-time solution convergence using a linear combination of weighted components for …
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Nonlinear Controller Design and Implementation for a Magnetic Levitation System
… and biases), using a population based stochastic optimization technique, namely, particle swarm optimization (PSO). An on-line learning algorithm has been developed for updating the SMN model parameters using a gradient-descent method. The ANN based techniques have been compared with a feedback …
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Optimal distribution of the relaxation behavior of linear viscoelastic materials by the particle swarm optimization method applied to the problem of a twisting shaft
… framework for the material distribution optimization problem of a linear viscoelastic material. The distribution of the relaxation behavior (coefficients of the Prony series expansion) across the system was obtained to achieve a target performance of the dynamic system by the particle …
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