Search Results - (( weight distribution computer algorithm ) OR ( parameters formation based algorithm ))
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Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.]
Published 2020“…The cluster heads (CHs) are selected according to the channel availability, residual energy, communication cost and node distribution parameters. Fuzzy logic and weight based techniques combines the four parameters for the CH selection. …”
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New synchronization protocol for distributed system with TCP extension
Published 2013“…In the worst condition, it optimized 3.99% higher than the most fault-tolerant previous works. The resulting algorithm does not involve variability in the hardware type nor is it based on specific distributed application software or databases. …”
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RWP-NSGA II: reinforcement weighted probabilistic NSGA II for workload allocation in fog and internet of things environment
Published 2024“…This paper proposes an improved version of NSGA II, namely, reinforcement weighted probabilistic NSGA II, which uses weighted probabilistic mutation. …”
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An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…In addition, exponential growth of data causes high computational costs in Apriori-like algorithms. Hence, this research aims to propose a two stage FPM, integrating Principal Component Analysis (PCA) and Weighted Apriori-T (PCA-WAT) algorithm to address these problems. …”
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Selection of access network using cost function method in heterogeneous wireless network
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Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system
Published 2013“…This research work inquires the applications of designed experiments aided by multiple regression analysis for tuning of this emerging novel optimization algorithm parameters to the cell formation (CF) problem considering operation sequence. …”
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Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…The CMS relies on the principle of grouping machines into machine cells and grouping machine parts into part families that is named cell formation. Cells are formed based on presuming fixed single route and parts demand (traditional cell formation) or fluctuation of parts demand (dynamic cell formation). …”
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Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements
Published 2022“…Cloud computing is a high-performance distributed computing platform that integrates large-scale services. …”
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Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
Published 2010“…In this technique, a mathematical model has been developed between the cutting parameters and the instability frequency of the chip serration based on response surface methodology and the model is verified by fuzzy logic with genetic algorithm.…”
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Web cluster load balancing via genetic-fuzzy based algorithm
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Optimization of PID parameters for hydraulic positioning system utilizing variable weight Grey-Taguchi and particle swarm optimization
Published 2014“…This is done by conducting the DOE on the two PSO optimizing parameters: the limit of change in particle velocity and the weight distribution factor. Computer simulations and physical experiments were conducted by using the proposed PSO-PID with the Variable Weight Grey-Taguchi DOE and the classical Ziegler-Nichols methods. …”
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…Firefly algorithm outperformed the other metaheuristic algorithms used to solve this proposed hybrid artificial intelligence model regarding parameter sensitivity. …”
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Optimal multiple distributed generation output through rank evolutionary particle swarm optimization
Published 2015“…In the power system analysis, the performance of REPSO is similar to IWPSO and IPSO, and better than CPSO, but the REPSO algorithm requires less numbers of iteration and computing time. …”
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Optimization of PID Parameters Utilizing Variable Weight Grey-Taguchi Method and Particle Swarm Optimization
Published 2017“…This is done by conducting the DOE on the two PSO optimizing parameters: the particle velocity limit and the weight distribution factor. Computer simulations and physical experiments were conducted by using the proposed PSO-PID with the Variable Weight Grey-Taguchi DOE and the classical Ziegler-Nichols methods. …”
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An enhanced cluster head selection algorithm for routing in mobile AD-HOC network
Published 2017“…The performance of ECRP algorithms was compared with other cluster based algorithms. …”
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