Search Results - adaptive _ difference selection algorithm*
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The second taxonomy is a new taxonomy proposed to classify the adaptive DE algorithms in particular into two categories (DE with adaptive parameters and DE with adaptive parameters and strategies) considering the adaptive components used in this algorithm. …”
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Adaptive Line Enhancer with Selectable Algorithms based on Noise Eigenvalue Spread
Published 2016“…The adaptive selection from a set of multiple adaptive algorithms to operate according to the characteristics of noise signals. …”
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A Scheme For Space-Time-Frequency Coding And Adaptive Multiple Antenna Selection For Improving The Performance Of Multiple-Input Single-Output Ofdm System
Published 2006“…Realizing that ST and SF behave differently in different environments, a new adaptive spatial mode (ASM)-OFDM is proposed. …”
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Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction
Published 2024“…To address these challenges, this research introduces a novel Depth Linear Discrimination-Oriented Feature Selection Method based on Adaptive Sine Cosine Algorithm, named Depth Adaptive Sine Cosine Feature Selection (DASC-FS). …”
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Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography
Published 2020“…It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. …”
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Adaptive filtering of EEG/ERP through bounded range artificial Bee Colony (BR-ABC) algorithm
Published 2014“…In this paper, the Artificial Bee Colony (ABC) algorithm is applied to construct Adaptive Noise Canceller (ANC) for electroencephalogram (EEG)/Event Related Potential (ERP) filtering with modified range selection, described as Bounded Range ABC (BR-ABC). …”
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Design, Modelling And Control Of Hybrid Energy Storage System For Electric Vehicles
Published 2021“…The proposed control algorithms were tested in three real drive cycles (uphill, downhill, and city-tour) at three different speeds (50, 60, and 70 Km/h) and in three different standard drive cycles (UDDS, NYCC, and Japan1015). …”
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…However, the learning complexity of classification is increased due to the expansion number of learning model. Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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The non-uniform communication performance of adaptive routing for hierarchical interconnection network for 3D VLSI
Published 2015“…Thus, those algorithms can also be applied to TESH network. We have proposed three adaptive routing algorithms - channel-selection, link-selection, and dynamic dimension reversal - for the efficient use of network resources of a TESH network to improve dynamic communication performance. …”
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Time-domain adaptive channel estimation for OFDM-based WLAN with multiple-antennas
Published 2008“…Simulation results show that the proposed estimation scheme has excellent performance measured in terms of the mean squares error (MSE) and the bit error rate (BER), provided that the forgetting factor of the RLS algorithm is optimally selected.…”
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Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes
Published 2013“…The proposed algorithm allows an increase in efficient load distribution among multiple Web application servers because each node may require a different level of system resources and processing power and it has the ability to adapt with the current system in a rapidly changing dynamic load environment particularly during the seasonal high traffic demand period. …”
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…The Friedman test result is presented for the performance rank of six benchmark feature selection algorithms and FESSIC algorithm. The Man-Whitney U test is then performed to statistically evaluate the significance difference of the second rank and FESSIC algorithms. …”
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Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques
Published 2007“…After selecting the best ANFIS structure, the response of the model to different types of membership functions was investigated. …”
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An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving
Published 2014“…This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. …”
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Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…However, the performance of ACO is highly dependent on the selection of its parameters. In this paper, the proposed adaptive ACO introduced two different ants, namely abnormal ant and random ant into the normal ACO to increase its global search ability and reduce the high convergence rate of ACO. …”
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Proceedings -
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Harmony search hyper-heuristic with different pitch adjustment operator for scheduling problems / Khairul Anwar ... [et al.]
Published 2021“…The Harmony Search Algorithm (HSA) has been adapted in the hyper-heuristics framework as the high-level heuristic named Harmony Search-based Hyper Heuristic (HSHH). …”
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