Search Results - (( parameter estimation bat algorithm ) OR ( a distribution center 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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Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour
Published 2022“…Works distribution is a routine carried out every day by the head of the branch in the SHARP Service Center. …”
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Proceeding Paper -
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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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Comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2023“…Restoration of supply to the unaffected areas is an important issue in distribution control centers, especially when a fault occurs at a particular section in a distribution network. …”
Conference Paper -
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Staff scheduling for a courier distribution centre using evolutionary algorithm
Published 2022“…In a courier distribution center, staffs are assigned to work in processes of a continuous workflow. …”
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A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
Published 2020“…An improvement percentage of the efficiency in (CEC-GP) over the benchmarks Center based stable clustering (CBSC) and evolving data clustering algorithm (EDCA) is 65% and 394% respectively.…”
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Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…In this paper, several novel algorithms are proposed for the dynamic consolidation of VMs in cloud data centers. …”
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Smart grid: Bio-inspired algorithms energy distributions for data centers
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Final Year Project / Dissertation / Thesis -
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Loss reduction in distribution networks using new network reconfiguration algorithm
Published 1996“…The solution algorithm of the proposed method has been tested, with very promising results, on a 69-bus radial distribution system. …”
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Loss reduction in distribution networks by network reconfiguration: a two stage solution approach
Published 2004“…The software for proposed solution algorithm is capable of performing optimum reconfiguration for a radial distribution network for any number of buses and laterals. …”
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Conference or Workshop Item -
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Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
Published 2018“…Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.…”
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Metaheuristic algorithms for solving lot-sizing and scheduling problems in single and multi-plant environments / Maryam Mohammadi
Published 2015“…Therefore, the multi-item multi-period capacitated lot-sizing problem in a multi-stage system composed of multiple suppliers, plants, and distribution centers is addressed in order to investigate the effectiveness of coordinating production and distribution planning. …”
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…The aim of this research is to propose a few new host overload detection and VMselection algorithms in order tominimize energy consumption. …”
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Development of integrated models for distribution network design of perishable products
Published 2015“…Previous research works that admire a centralized structure consisting of suppliers, distribution centers and retailers, considered for simplicity that the products dispatched from the supplier are maintained at the distribution centers locations before being demanded by the customer. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. …”
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Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks
Published 2019“…MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
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Thesis -
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A comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2008“…Restoration of supply to the unaffected areas is an important issue in distribution control centers, especially when a fault occurs at a particular section in a distribution network. …”
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Conference or Workshop Item
