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Showing 1 to 20 of 139 for “"PSO"”.
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Aplikace optimalizační metody PSO v podnikatelství
… V druhé části jsou popsány varianty algoritmu PSO řešící problém shlukování a problém obchodního cestujícího a popis jejich implementace v jazyce Matlab.
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PSO modelling and PID controlled of automatic fish feeder system
… parameters as transfer function by using PSO algorithm to optimize ARX model parameter. Validation tests used was residual analysis. The best transfer function was then used as a modelling plant in the simulation process with PID controller to determine the optimum PID parameters. Finally, …
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A modified technique in RFID networking planning and 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 settings of PSO that fits all. This issue becomes more …
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An Evaluation of Performance Enhancements to Particle Swarm Optimisation on Real-World Data
… problems. Particle Swarm Optimisation (PSO) is a type of swarm computation inspired by bird flocks or swarms of bees by modelling their collective social influence as they search for optimal solutions. In many real-world applications of PSO, the algorithm is used as a data pre-processor …
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Intelligent Processing in Wireless Communications Using Particle Swarm Based Methods
… a series of Particle Swarm Optimization (PSO) based search and optimization algorithms that solve open research and design problems in wireless communications. These problems are either avoided or solved approximately before.</p> <p>PSO is a bottom-up approach for optimization problems. It …
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Modelling and control of heat exchanger by using bio-inspired algorithm
… parameter of ARMAX equation and by using GA and PSO, all the parameters were optimized. Transfer function obtained will be used for plant modelling. Validation test used to validate between normalised data input and error. Validation test used were autocorrelation and cross-correlation. Finally, …
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Health and safety management in the public sector
… management within a public sector organisation (PSO) setting. I consider health and safety challenges faced by line management that are common in any large public or private sector organisation and identify the need, in these circumstances, to rely on a systematic approach to achieve adequate …
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L’activité de travail et le pouvoir d’agir de personnes spécialistes de l’orientation intervenant en région auprès de groupes visant l’intégration sociale et professionnelle de personnes immigrantes
… de personnes spécialistes de l’orientation (PSO) intervenant en groupe pour l’intégration sociale et professionnelle de personnes immigrantes. Mobilisant la clinique de l’activité, par l’instruction au sosie et l’autoconfrontation, il ressort que, bien que les prescriptions orientent le …
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Optimal strategies for selecting from multiple asteroid interception targets
… a combination of particle swarm optimization (PSO) and a commercial non-linear programming (NLP) solver SNOPT (Sparse Nonlinear OPTimizer). The problem considers an intercepting vehicle and three bodies of interest, only one of which can be intercepted. The resulting optimal trajectory must …
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Dynamic electronic asset allocation comparing genetic algorithm with particle swarm optimization
… 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 and preserved the coding style, …
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Exergy Based SI Engine Model Optimisation. Exergy Based Simulation and Modelling of Bi-fuel SI Engine for Optimisation of Equivalence Ratio and Ignition Time Using Artificial Neural Network (ANN) Emulation and Particle Swarm Optimisation (PSO).
… Constrained particle swarm optimisation (CPSO) is employed to identify parameters such as equivalence ratio and ignition time for optimising of the engine performance, based upon maximising ¿total availability¿. In the optimisation process, the engine exhaust gases standard emission were …
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Dynamic energy management system of microgrid
… were tried out and compared: the Hybrid Feedback PSO-MCS (HFPSOMCS) algorithm, Particle Swarm Optimization (PSO), and Modified Cuckoo Search (MCS). In the second case study, three methods were also tried out and compared: the Multi-objective Hybrid Integrated MCS PSO (MOHIMCSPSO), the …
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The use of prospect theory framework in constrained multi-objective particle swarm optimisation
… with constraints. Particle swarmoptimisation (PSO) is a population-based stochastic algorithm has been shown to be aneffective optimisation method for solving these types of problems since it is capable ofgenerating random multi-start points, it is simple to perform and it does not …
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Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems
… strategies. Various particle swarm optimization (PSO) techniques have been proposed in order to address these LSOPs, either through the improvement of search operators or utilizing decomposition. However, there is a lack of comparison between them showing which PSO variant performs best for …
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Computational intelligence methods in wireless sensor networks
… the applications of particle swarm optimization (PSO) in WSNs are presented.</p> <p>An adaptive critic design (ACD) having a new combination of a PSO-based actor and a multilayer perceptron (MLP) critic is introduced for dynamic optimization. Its effectiveness is demonstrated through dynamic sleep …
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Initial Orbit Determination of Uncooperative Satellites Using Particle Swarm Optimization From the Point of View of a Novel Observer Orbit
… 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 second cost function uses a full …
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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
… 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 exploitation in ABC, and imbalanced exploration and exploitation issue …
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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
… system by the particle swarm optimization (PSO) method. The (PSO) method was applied to a simple fixed shaft to demonstrate the improvement in the structural response of the system and convergence capability of the method. While the simulations showed great improvements in the structural …
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A Prediction Modeling Framework For Noisy Welding Quality Data
… SVR are selected by particle swarm optimization (PSO) with meta-modeling. Constructing bagging models require</p> <p>114</p> <p>more computational costs than a single model. Also, evolutionary computation algorithms, such as PSO, generally require a large number of candidate solution evaluations …
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