Search Results - (( simulation optimization method algorithm ) OR ( based optimization clustering algorithm ))
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Cluster optimization in VANET using MFO algorithm and K-Means clustering
Published 2023“…Proven to be an effective and efficient method for solving optimization problem. To design K-Means algorithm that portion nodes based on their proximities by optimize the distance between nodes within same cluster by assigning them to the closet cluster center. …”
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Improved particle swarm optimization by fast annealing algorithm
Published 2019“…We also apply the algorithm in clustering problem, and the results shows that the proposed method has better accuracy than the optimization methods.…”
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Proceeding Paper -
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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Hybridized firefly algorithm for multi-objective radio frequency identification (RFID) network planning
Published 2017“…The technique was combining the Density Based Clustering method (DBSCAN) and firefly algorithm. …”
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Transmission path optimization Based on Efficiency Communication System
Published 2022“…In this paper, routing attribute table that is maintained by the nodes, the density and relative distance of node distribution, is used to determine the clustering method. At the same time, the developed algorithm combines the relative position of the cluster and the base station to further improve the routing method of the sub-cluster head, Finally, the algorithm analyzes the influence of different parameters on the transmission path, and use the simulation experiments to evaluate the conclusions.…”
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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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Design of A unmanned aerial vehicles assisted search and rescue collaboration architecture for emergency communication systems / Abdu Ahmed Saif Ahmed
Published 2022“…The optimal cluster head selection algorithm also gives a lower outage probability of approximately 40% compared to nonoptimal cluster selection in UAV to cluster head links and cluster head to cluster member links to improve the network stability. …”
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Regionalization by fuzzy expert system based approach optimized by genetic algorithm.
Published 2013“…Genetic algorithm (GA) was employed to adjust parameters of FES and optimize the system. …”
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Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy
Published 2020“…In the extended ECH-DUAL algorithm in addition to dual sink a new cluster head selection method is proposed for unequal clustering. …”
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12
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…Then, this study aims to optimize the hyperparameters of the developed DNN model using the Arithmetic Optimization Algorithm (AOA) and, lastly, to evaluate the performance of the newly proposed deep learning model with Simulated Kalman Filter (SKF) algorithm in solving image encryption application. …”
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Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network
Published 2023“…Firstly, RK-Means creates multi-groups of vehicles using a covering rough set based on effective parameters. Secondly, the K-value-calculating algorithm computes the optimal number of clusters. …”
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Fuzzy subtractive clustering (FSC) with exponential membership function for heart failure disease clustering
Published 2022“…Objective: Fuzzy clustering algorithm is a partition method used to assign objects from a data set to a cluster by marking the average location. …”
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EZ-SEP: extended Z-SEP routing protocol with hierarchical clustering approach for wireless heterogeneous sensor network
Published 2021“…EZ-SEP was executed and compared to routing protocols such as Z-SEP, SEP, and LEACH. The proposed algorithm performed using the MATLAB R2016b simulator. …”
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Green anaconda optimization based energy aware clustering protocol for 6G wireless communication systems
Published 2023“…Therefore, this study presents a new Green Anaconda Optimization Based Energy Aware Clustering Protocol (GAOB-EACP) approach for WSN. …”
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Even-odd scheduling based energy efficient routing for wireless sensor network (WSN) / Muhammad Zafar Iqbal Khan
Published 2022“…To achieve the task of a longer network lifetime and higher average node energy, we have proposed an energy-efficient routing protocol motivated from the concept of well-known Low Energy Adaptive Cluster Hierarchy routing algorithm also known as LEACH, and optimized it with the concept of alternate hitting, which means the even-odd scheduling-based routing. …”
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A stable energy balancing based clustering routing protocol for IoUT using meta-heuristic technique
Published 2024“…The proposed method enable to optimization the IoUT energy efficiency by balancing strategy that uses the Q-learning algorithm to ensure more balanced distribution of tasks across UNs and CHs. …”
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Proceeding Paper -
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Dynamic partitioning and data allocation method on heterogeneous architecture / Muhammad Helmi Rosli
Published 2015“…These involves partitioning and allocating task to each cluster node.The aim of these research is to investigate various method of partitioning and allocating task in cluster environment and produce a dynamic partitioning and allocating method. …”
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4E analysis of a two-stage refrigeration system through surrogate models based on response surface methods and hybrid grey wolf optimizer
Published 2023“…However, traditional methods are based on a trial and error process to optimize these systems, and a global optimum operating point cannot be guaranteed. …”
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