Search Results - (( a distribution ((a algorithm) OR (bat algorithm)) ) OR ( parametric estimation path algorithm ))
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An improved bat algorithm with artificial neural networks for classification problems
Published 2016“…ABC, HS, CS, WS, BPNN, LM, and ERNN etc.). Recently, a new metaheuristic search Bat algorithm has become quite popular due its tendency towards convergence to optimal points in the search trajectory by using echo-location behavior of bats as its random walk. …”
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An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
Published 2021“…Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. …”
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Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems
Published 2005“…As a more realistic channel modeling, a multipath fading deterministic channel model is proposed to generate properly correlated faded waveforms with appropriate power distribution through azimuth spread of received signal. …”
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Performance analysis of distributed power flow controller with ultracapacitor for regulating the frequency deviations in restructured power system
Published 2020“…An innovative metaheuristic method called bat algorithm (BA) is used to ascertain the optimal gain parameters of the two degree of freedom (2DOF) controllers using an integral squared error (ISE) criteria. …”
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Performance analysis of distributed power flow controller with ultra-capacitor for regulating the frequency deviations in restructured power system
Published 2020“…An innovative metaheuristic method called bat algorithm (BA) is used to ascertain the optimal gain parameters of the two degree of freedom (2DOF) controllers using an integral squared error (ISE) criteria. …”
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A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition
Published 2024“…Nevertheless, conventional PSO suffers from large transient oscillation, slow convergence and tedious parameter tuning when tracking global MPP (GMPP) under partial shading conditions (PSC), leading to poor efficiency and significant power loss. Therefore, a modified PSO hybridized with adaptive local search (MPSO-HALS) is designed as a robust, real-time MPPT algorithm. …”
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Simultaneous controllers for stabilizing the frequency changes in deregulated power system using moth flame optimization
Published 2022“…The performance of MFO-based 2DOF PID-FOPDN is evaluated against Cuckoo search (CS), Bat algorithm (BA), and Teaching learning-based optimization (TLBO) approaches in different contract scenarios of deregulated system. …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). …”
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Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
Published 2014“…The selected algorithms were then applied in a distributed fashion at each node. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. …”
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Ancestral dynamic voting algorithm for mutual exclusion in partitioned distributed systems
Published 2013“…In this study, a new dynamic algorithm is presented as a solution for mutual exclusion in partitioned distributed systems. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. …”
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Optimal Allocation and Sizing of Distributed Generation in Distribution System via Firefly Algorithm
Published 2012“…FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2022“…The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. …”
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20
Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. …”
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