Search Results - (( normal distribution search algorithm ) OR ( parameter estimation bat algorithm ))
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Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm
Published 2023“…Decision making; Disaster prevention; Floods; Routing algorithms; Water resources; Absolute deviations; Bat algorithms; Comparative analysis; Computational time; Flood routing; Muskingum models; Particle swarm optimization algorithm; Swarm algorithms; Particle swarm optimization (PSO); accuracy assessment; algorithm; comparative study; decision making; flood; flood forecasting; flood routing; numerical method; optimization; parameter estimation; water resource; United Kingdom; United States…”
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Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm
Published 2018“…The present study attempted to develop a three-parameter Muskingum model considering lateral flow for flood routing, coupling with a new optimization algorithm namely, Improved Bat Algorithm (IBA). …”
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Tasks Distribution In Driver Scheduling Using Dynamic Set Of Bandwidth In Harmony Search Algorithm With 2-Opt
Published 2021“…Therefore, a tasks distribution in driver scheduling using dynamic set of bandwidth in harmony search algorithm with 2-opt (SBHS2-opt) was proposed in this research. …”
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Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal
Published 2022“…Modern distribution network is a complex network due to load demand varies and normally designed in radial circuit in which the circuit has ready to close switch at the end of the circuit when the situation needed. …”
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The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool
Published 2008“…The goal of this project is to test on tardiness parameter in local search based algorithms. A good scheduling algorithm normally shows lower value of total tardiness and schedule time. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…For this purpose, the normal distributions are applied to each class. The parameters of this distribution are optimized by applying the proposed MOHA. …”
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Optimum capacitor placement and sizing for distribution system based on an improved voltage stability index
Published 2012“…The proposed algorithm is tested on 12-bus, 33-bus and 69-bus radial distribution networks. …”
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…Recently, a nature-inspired metaheuristic known as Symbiotic Organisms Search (SOS) optimisation algorithm was proposed. …”
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…The firefly algorithm remains a feasible alternative for shallow architectural network models, while metaheuristic algorithms such as the Particle swarm algorithm and Bat algorithm are better options for deeper architectural network models. …”
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Constrained Self-Adaptive Harmony Search Algorithm With 2-Opt Swapping For Driver Scheduling Problem Of University Shuttle Bus
Published 2019“…A constrained self-adaptive harmony search algorithm (CSAHS) with 2-opt swapping (CSAHS-2opt) for driver scheduling problem of university shuttle bus (DSPUSB) was proposed in this study. …”
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Improved cuckoo search for loss allocation in transmission line
Published 2017“…Comparison between Cuckoo Search (CS) and Genetic Algorithm (GA) are also presented in this paper.…”
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Optimal placement and sizing of distributed generation in radial distribution networks using particle swarm optimization and forward backward sweep method
Published 2012“…To address these issues, this thesis focuses mainly on the optimal placement and sizing of DG in the distribution networks. Electrical distribution network systems normally include distribution feeders,which are arranged or configured either in mesh or radial pattern and they are mainly fed by a utility substation. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Trying through all the possible candidate clusters for the perfect result is too time consuming. Metaheuristic algorithm aims to search for global optimum in high dimensional problems. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…The PSO inverse technique is then applied to the magnetization curve to construct the magnetic moment distribution. A multimodal normalized log-normal distribution was used in the minimization of the objective function of the PSO inversion technique, and a modification of the PSO search region is proposed to improve the exploration and exploitation of the PSO particles. …”
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Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
Published 2019“…Despite of this, this research also found that both YCbCr and HSV color model are having some limitation when dealing with darker face and lightning condition since the skin color become slightly out of range from normal skin color distribution.…”
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Performance Improvement of Multiobjective Optimal Power Flow-Based Renewable Energy Sources Using Intelligent Algorithm
Published 2022“…The study suggests a Multi-Objective Search Group Algorithm (MOSGA) to deal with multi-objective optimal power flow integrated with a stochastic wind and solar powers (MOOPF-WS) problem. …”
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Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat
Published 2008“…FFT analysis and Hilbert transformation were used to extract information embedded in both cry signals Algorithms and programming utilizing MATLAB R2007b were written to search for the fundamental frequency of each cry signal and to identify the type of signal uniquely according to its fundamental frequency. …”
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