Search Results - (( a distribution ((bat algorithm) OR (based algorithm)) ) OR ( based evaluation case algorithm ))
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An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
Published 2021“…Based on the ANOVA comparison test results, a 1.25 percent improvement on accuracy and 0.98 percent reduced makespan on task allocation system of VM in cloud computing is observed with the proposed HBAC algorithm.…”
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…Eventually, the workflow is executed. The second algorithm is a variation in first algorithm in which data parallelism is introduced in each partition. …”
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3
Permission-based fault tolerant mutual exclusion algorithm for mobile Ad Hoc networks
Published 2015“…Token-based algorithms depend on circulation of a specific message known as token. …”
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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…Finally, a crowding distance and non-dominated-sorting-based multi-objective hybrid firefly & particle swarm optimization (MOHFPSO) algorithm is designed for MOOPF problems. …”
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5
Optimum Feeder Routing and Distribution Substation Placement and Sizing using PSO and MST
Published 2014“…The proposed algorithm has been evaluated on the distribution network case with 500 consumers which are consisting of residential and commercial loads. …”
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Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…The results indicate that proposed algorithm has succeeded in finding a reasonable placement and sizing of distributed generation with adequate feeder path. …”
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Kalman filter based impedance parameter estimation for transmission line and distribution line
Published 2019“…To demonstrate the efficiency of the new proposed method, a case study of simulated distribution line in UMP is also considered. …”
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9
Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems
Published 2008“…GDF and GSF controllers are evaluated for two test cases namely “two-part-type production line” and “re-entrant production system”. …”
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10
Development of an effective clustering algorithm for older fallers
Published 2022“…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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On a new transmuted three-parameter lindley distribution and its applications
Published 2024“…In this paper, a new transmuted three-parameter Lindley distribution (TTHPLD) is established using the transmutation map method, which includes the Lindley distribution, two-parameter Lindley distribution, transmuted two-parameter Lindley distribution and three-parameter Lindley distribution as special cases. …”
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Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
Published 2011“…In this thesis, we considered two methods via the expectation maximization (EM) algorithm for cure rate estimation based on the BCH model using the two censoring types common to cancer clinical trials; namely, right and interval censoring. …”
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14
Development of priority oriented scheduling method to increase the efficiency and reliability for automotive job
Published 2012“…Also, to evaluate the proposed method of scheduling, a case study in an automotive manufacturing company (IKCO) is conducted. …”
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A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems
Published 2025“…For objective two, three routing strategies were evaluated. Based on a single-vehicle optimal route, the algorithm provided the shortest distance, 91.74 km. …”
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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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Vehicle pick-up and drop-off schedule optimization in a university setting
Published 2024“…Lateness will be removed using a lateness waiting time rollback mechanism. A simulated annealing-based multi-directional iterative local search algorithm is employed for solution optimization. …”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…One of the main problems of this method is premature convergence and to improve this problem, the compound of the particle swarm algorithm and genetic algorithm were evaluated. The basis of this compound is in such a way that the advantages of the Particle Swarm Optimization (PSO) algorithm and Genetic Algorithm (GA) have been applied simultaneously. …”
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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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An improved bat algorithm with artificial neural networks for classification problems
Published 2016“…Therefore, in order to improve the exploration and exploitation behavior of bats, this research proposed an improved Bat with Gaussian Distribution (BAGD) algorithm that takes small step lengths and ensures convergence to global optima. …”
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