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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…The main advantage of this algorithm is that no algorithm-particular controlling parameters are required for this algorithm. …”
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Thesis -
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OPTIMAL DESIGN OF A BLDC MOTOR BY GENETIC ALGORITHM
Published 2007“…The project report describes an optimal design of Brushless DC (BLDC) motor using Genetic Algorithm (GA) and Simulated Annealing (SA). A constrained optimization on the objective function is performed and optimal parameters are derived. …”
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Final Year Project -
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Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi
Published 2015“…For solving TTRP, a variety of algorithms have been applied earlier but TTRPSD programming has not yet solved. …”
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Experimental implementation controlled SPWM inverter based harmony search algorithm
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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Monograph -
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Optimal Strategy for Comfort-Based Home Energy Management System Considering Impact of Battery Degradation Cost Model
Published 2024“…In this paper, a novel scheduling algorithm based on a mixed-integer programming (MIP) model is proposed for the HEMS. …”
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Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali
Published 2017“…The first case is the known initial state without constraint, which is the ideal case for study or more likely for programming validation purposes. …”
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Comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2023Conference Paper -
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023“…Electric transformers; Health; Hidden Markov models; Nonlinear programming; Probability distributions; Quality control; Viterbi algorithm; Condition parameters; Dissolved gas analysis; Distribution transformer; Emission probabilities; Health indices; Non-linear optimization; Remaining useful lives; Transition probabilities; Parameter estimation…”
Conference Paper -
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Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach
Published 2018“…This study has an important implication for the population in ECPM since the predicted sea level could be used as an early warning signal to help prevent severe erosion and facilitate early evacuation of affected communities in case of flood inundation. Genetic Programming (GP) algorithm is an example of an evolutionary algorithm (EA) in the field of evolutionally computation (EC) and, more broadly, in Artificial Intelligence. …”
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Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia
Published 2023“…Several optimization algorithms under Python’s LMfit package, such as Levenberg-Marquardt, Nelder-Mead, Trust-Region Reflective and Sequential Linear Squares Programming; are employed to estimate the related parameters, in such that the numerical solution of the ODEs will fit the data with the slightest error. …”
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