Search Results - a distribution ((factor algorithm) OR (((function algorithm) OR (connection algorithm))))*
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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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Selection of access network using cost function method in heterogeneous wireless network
Published 2014“…This method covers the weight distribution and cost factor techniques.The weight distribution is used to measure different weights for existing wireless network based on the user's preference and mobile terminal power.The cost factor technique is also used to identify the cost for performing handover target by considering every network parameters and its weight.Results obtained showed that the algorithm has the ability to increase user's satisfaction compared to other algorithms, which consistently choose one accessible network.…”
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Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review
Published 2025“…This paper provides an overview of localization algorithms, including centralized and distributed algorithms. …”
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A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…Since the direct application of the firefly algorithm cannot generate connected topologies, outputs from the firefly algorithm were used as an initial input material distribution for the OC method. …”
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Bayesian logistic regression model on risk factors of type 2 diabetes mellitus
Published 2016“…The Bayesian logistic regression methods made use of the metropolis hasting (Random walk algorithm) and the Gibbs sampler with the incorporation of non-informative flat prior and non-informative non-flat prior distributions to obtain the posterior distribution for each coefficient of the variables. …”
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…Four levels of analysis are traversed in order of decreasing abstraction: computational, algorithmic, implementational and formational. As each level is traversed, a biological plausibility argument is gradually strengthened. …”
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Profit-based optimal generation scheduling of a microgrid
Published 2023“…A case study on the difference between grid-connected and islanded operation is presented. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal
Published 2022“…In addition, objective function using the same CSSA algorithm were applied i.e., Vmin and Ploss as the objective function, and multi-objective involves Vmin and Ploss as the objective function. …”
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Multi-objective Binary Clonal Selection Algorithm In The Retrieval Phase Of Discrete Hopfield Neural Network With Weighted Systematic Satisfiability
Published 2024“…A Binary Clonal Selection Algorithm is being proposed to ensure optimal generation of the superior final neuron states. …”
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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat
Published 2020“…In this study, the problem of determination dengue disease factors was modeled using a neural network. The activation function in this neural network model then estimated using genetic algorithms. …”
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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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Energy management and performance evaluation of grid connected PV-battery hybrid system with inherent control scheme
Published 2018“…For this purpose, a new management algorithm is proposed to optimize the generated power and allows the system to act as a distributed source inside the utility grid. …”
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Enhanced marking process (EMP) for constructing dominating set in mobile ad-hoc networks with unidirectional links
Published 2014“…The proposed algorithm is integrated with AODV routing protocol to generate a connected dominating set that will be responsible on flooding activity. …”
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Impatient task mapping in elastic cloud using genetic algorithm
Published 2011“…Results: The results show an improvement in the proposed system compared to MCT algorithm as illustrated throughout the study. Conclusion: Batch mapping via genetic algorithms with throughput as a fitness function can be used to map jobs to cloud resources.…”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network
Published 2022“…Hence, this study proposes a multi-objective firefly analytical hierarchy algorithm (FAHA) for determining the optimal allocation and sizing of DG. …”
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Innovative crossover and mutation in a genetic algorithm based approach to a campus bus driver scheduling problem with break consideration and embedded overtime
Published 2013“…The unfairness of job distribution and the ineffectiveness of break-time assignment among bus drivers are factors identified as problem issues in the bus driver management in a university campus environment.The issues affect the quality of the bus service which then pointed to the efficiency or inefficiency of the bus driver scheduling system.Thus, this study investigates the problem and constraints connected to bus driver scheduling activities as a case in a campus environment.Therefore, we developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach. …”
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