Search Results - (( simulation optimization based algorithm ) OR ( data internalization based algorithm ))
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1
Ant colony optimization for rule induction with simulated annealing for terms selection
Published 2012“…This paper proposes a sequential covering based algorithm that uses an ant colony optimization algorithm to directly extract classification rules from the data set.The proposed algorithm uses a Simulated Annealing algorithm to optimize terms selection, while growing a rule.The proposed algorithm minimizes the problem of a low quality discovered rule by an ant in a colony, where the rule discovered by an ant is not the best quality rule, by optimizing the terms selection in rule construction. …”
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2
An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
Published 2018“…This paper presents an Exponent-based Simulated Kalman Filter (EbSKF) algorithm. …”
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A study of fluctuations in genetic algorithm optimized network in data centre
Published 2017“…The purpose of this study is to observe the reliability of genetic algorithm in our previously simulated network optimization in a data centre. …”
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Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks
Published 2015“…Simulation results show that the proposed algorithm converges and outperforms a source based tree algorithm. …”
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Proceeding Paper -
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BSKF: Binary Simulated Kalman Filter
Published 2015“…Inspired by the estimation capability of Kalman filter, we have recently introduced a novel estimation-based optimization algorithm called simulated Kalman filter (SKF).Every agent in SKF is regarded as a Kalman filter. …”
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A noble approach of ACO algorithm for WSN
Published 2018“…The proposed algorithm has been simulated and verified utilizing MATLAB and the simulation results demonstrate that new ant colony optimization based algorithm can achieve better performance and faster convergence to determine the best cost route.…”
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Underwater Acoustic Communications: Optimizing Data Packet Size With Respect to Throughput Efficiency, BER, and Energy Efficiency
Published 2011“…Based on the results of the simulation the authors have proposed an algorithm/framework to determine the optimal packet size for UWA data transmission. …”
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Taguchi's method for optimized neural network based autoreclosure in extra high voltage lines
Published 2008“…The fault identification prior to reclosing is based on optimized artificial neural network associated with Levenberg Marquardt algorithm to train the ANN and Taguchi's Method to find optimal parameters of the algorithm and number of hidden neurons. …”
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10
Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
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An improved K-nearest neighbour with grasshopper optimization algorithm for imputation of missing data
Published 2021“…Thus, this paper proposes a novel method for imputation of missing data, named KNNGOA, which optimized the KNN imputation technique based on the grasshopper optimization algorithm. …”
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Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…A deterministic mutation-based algorithm is introduced to overcome this problem. …”
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Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques
Published 2003“…One of the most promising approaches is based on optimal inverse Xltering followed by fitting an autoregressive moving average ( A M ) model to the deconvolved data so that its AR parameters are determined by solving high order Yule- Walker equations (HOYWE) via the singular value decomposition (SVD) algorithm. …”
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14
Cluster optimization in VANET using MFO algorithm and K-Means clustering
Published 2023“…Introduce MFO algorithm for simulate the movement behavior of moths and update the position based upon movements. …”
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Energy-efficient scalable routing protocol based on ACO for WSNS
Published 2019“…An energy-efficient scalable routing algorithm based on ant colony optimization (ACO) for WSNs is presented here to find the optimal path of data transmission while consuming less energy leading to increase of network’s lifetime. …”
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Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation
Published 2016“…Most implementations have been focused on neighborhood-based meta-heuristics. In order to help test engineers to make informed decision on the best neighborhood based implementations, this paper investigates the size and time performance of two MC/DC test strategies re-implementation based on Simulated Annealing against two newly developed strategies based on Great Deluge and Late Acceptance Hill Climbing algorithms respectively. …”
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17
An Assembly Sequence Planning Approach with a Multi-State Particle Swarm Optimization
Published 2016“…In this paper, an approach based on a new variant of Particle Swarm Optimization Algorithm (PSO) called the multi-state of Particle Swarm Optimization (MSPSO) is used to solve the assembly sequence planning problem. …”
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Book Chapter -
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Three phase fault algorithm in distribution system by using database approach and impedance based method
Published 2012“…A three phase fault location algorithm using database and impedance based method is utilized in distribution system to locate fault which may occur in any possible fault sections and to optimize the switching operations to reduce the outage time affected by fault. …”
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Battery energy storage system sizing using PSO algorithm in DIgSILENT powerfactory
Published 2022“…Problem for optimization of BESS sizing and placement are formulated in DPL script with analytic algorithm and particle swarm optimization (PSO) with loadflow simulation. …”
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A Single Objective Flower Pollination Algorithm for Modeling the Horizontal Flexible Plate System
Published 2020“…The algorithm is a novel bio-inspired optimization algorithm that mimics the real-life processes of the flower pollination. …”
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