Showing 1 - 20 results of 31 for search '(( implement pso algorithm ) OR ((( element control algorithm ) OR ( neural coding algorithm ))))', query time: 0.13s Refine Results
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    Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant by Shahbaz Hussain (9765320)

    Published 2019
    “…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
    “…The authors report on the design of a digital feedback control system to provide null steering by controlling the array element positions automatically. …”
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    Particle swarm optimization algorithm: review and applications by Abualigah, Laith

    Published 2024
    “…This paper surveys the published papers in PSO algorithms. Twenty research papers are analyzed and classified according to the implementation area used by the PSO algorithm (neural networks, feature selection, and data clustering). …”
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    Metaheuristic Optimization Algorithms for Training Artificial Neural Networks by Mansour, Nashat

    Published 2012
    “…Furthermore, the results obtained are compared to those attained using another competing meta-heuristic which is the Particle Swarm Optimization (PSO). Also, Guaranteed Convergence Particle Swarm Optimization (GCPSO) which is a PSO variant is implemented and its results are compared with CS and PSO. …”
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    Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants by Shafiq, M.

    Published 2006
    “…Adaptive tracking of nonlinear dynamic plants is an essential element of many control applications. The main difficulty felt in establishing the tracking of nonlinear dynamic plants is the computational complexity in controller design. …”
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