Search Results - (( developing state efficiency algorithm ) OR ( java implication from algorithm ))
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Stochastic optimal control of economic growth model under research and development investment with Kalman filtering approaches
Published 2022“…These approaches aim to estimate the state dynamics from different perspectives. With these state estimates, two different computational algorithms are proposed, the EKF for state-control (EKF4SC) and UKF for state-control (UKF4SC) algorithms. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]
Published 2011“…The initial phase involved the development of the FSSM of the superheater system. In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm
Published 2016“…The steady state test and dynamic tests were used to test the performance of the algorithms. …”
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Then, the proposed MPPT algorithm and dc-dc boost converter were designed and developed in the same tool. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…Besides that, there is an interface view for the expected simulation output which mainly is in MSDos Prompt. The A* algorithm is considered to be more efficient than Dijkstra's algorithm because it searchers towards a goal without considering all nodes in a state space, but rather more focus and directed. …”
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Advanced online battery states coestimation using Kalman filter for electric vehicle Applications / Prashant Shrivastava
Published 2021“…This thesis focuses on the development of the co-estimation methods of lithium-ion battery states of interest, which are capable to improve the efficiency of BMS, especially for EV applications. …”
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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…Therefore, it can be stated that the genetic algorithm approach developed in this study is efficient in solving large scale vehicle routing problem subject to precedence constraints with the objective of minimizing the distance travelled.…”
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Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
Published 2022“…The results show the HCS MPPT algorithm reduced the steady-state oscillation, rapid time tracking and improved 93.75% of efficiency.…”
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An optimized test case generation technique for enhancing state-sensitivity partitioning
Published 2017“…With respect to both quality attributes, the effectiveness and the efficiency, the results indicate that enSSP is more effective and efficient than SSP.…”
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Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…Our algorithms prolong the battery life by adjusting the base station using initial and final states. …”
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Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms
Published 2013“…Artificial intelligence algorithms, specifically PSO and PSO combined with Incremental conductance algorithm, are used to achieve the stated goals. …”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…The job scheduling of the scientific workflow can efficiently outperform state-of-the-art competitor algorithms.…”
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A hybrid SP-QPSO algorithm with parameter free adaptive penalty method for constrained global optimization problems
Published 2018“…The experimental results show that the hybrid version of SP-QPSO algorithm is not only overcome the shortcomings of the original algorithms but also outperformed most state-of-the-art algorithms, in terms of searching efficiency and computational time.…”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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Final Year Project / Dissertation / Thesis -
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The comparison study among optimization techniques in optimizing a distribution system state estimation
Published 2017“…Therefore, accurate and timely efficient state estimation algorithm is a prerequisite for a stable operation of modern power grids. …”
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