Search Results - (( simulation optimization based algorithm ) OR ( program internalization based algorithm ))
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Experimental implementation controlled SPWM inverter based harmony search algorithm
Published 2023Article -
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Battery energy storage system sizing using PSO algorithm in DIgSILENT powerfactory
Published 2022“…Problem for optimization of BESS sizing and placement are formulated in DPL script with analytic algorithm and particle swarm optimization (PSO) with loadflow simulation. …”
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Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…Then, these graph-based structural models of the fullerenes and graph algorithms based on dynamic programming are applied to compute a new set of optimal weighted physical properties of the components including Wiener, hyper-Wiener, Harary and reciprocal Wiener indices as well as Hosoya and hyper-Hosoya polynomials. …”
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Thesis -
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Grey Wolf Optimizer for Solving Economic Dispatch Problems
Published 2014“…The algorithm is then benchmarked on 20 generating units in economic dispatch, and the results are verified by a comparative study with Biogeography-based optimization (BBO), Lambda Iteration method (LI), Hopfield model based approach (HM), Cuckoo Search (CS), Firefly, Artificial Bee Colony (ABC), Neural Networks training by Artificial Bee Colony (ABCNN), Quadratic Programming (QP) and General Algebraic Modeling System (GAMS). …”
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Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
Published 2016“…The goal of this paper is to optimize the productivity of manufacturing system by integrating computer simulation, design of experiments (DOE) and particle swarm optimization (PSO) algorithm. …”
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Optimal location and sizing of SVC using Particle Swarm Optimization technique
Published 2011“…Particle Swarm Optimization (PSO) is population-based stochastic search algorithms approaches as the potential techniques to solving such a problem. …”
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Simulated Annealing Based Strategy for Test Redundancy Reduction
Published 2014“…Unlike existing works which rely on the Greedy approaches, our work adopts the random sequence permutation and optimization algorithm based on Simulated Annealing with systematic merging technique. …”
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Fuzzy subtractive clustering (FSC) with exponential membership function for heart failure disease clustering
Published 2022“…Result: The results showed that the most optimal number of clusters is 3, which are selected based on the largest PC value. …”
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Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
Published 2023“…Formulation for multiple objectives for optimization of BESS sizing with particle swarm optimization (MOPSO) and load flow simulation are applied in the DPL script. …”
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Design of fuzzy based controller for modern elevator group with floor priority constraints
Published 2011“…The elevator technologies are developed to serve the requested passenger’s floors with high consideration of passengers’ satisfaction and elevator optimal performance. Responding to the issue, this paper focuses on development of an elevator group controller based on fuzzy algorithm. …”
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Proceeding Paper -
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Analysis of adaptive video streaming for users with demand heterogeneity
Published 2018“…Enhancement Fractional Participative Scheme (EFPS) based on bandwidth contribution was explored. Using JSVM9.14 software, the simulated result shows that the optimized algorithms and enhancement structure improve the performance.…”
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Proceeding Paper -
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…In this case, the effectiveness and reliability of RMS is increase by combining the simulation with the optimization algorithm.…”
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Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
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Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
Published 2016“…Inspired by the estimation capability of Kalman filter, we have recently introduced a novel estimation-based optimization algorithm called simulated Kalman filter (SKF). …”
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