Search Results - adoption two different ((encryption algorithm) OR (evolutionary algorithm))
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…Two main aspects are used to classify the evolutionary algorithm variants: population-based and evolutionary strategies (variation and replacement). …”
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Evolutionary mating algorithm
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Selective video encryption algorithm based on H.264/AVC and AES
Published 2011Get full text
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A new KD-3D-CA block cipher with dynamic S boxes based on 3D cellular automata
Published 2019“…Lastly, KD-3D-CA Block cipher is more complex and it outperforms AES with more than 25% for different key sizes. Deductively, the proposed KD-3D-CA block cipher algorithm is more secure than other block cipher algorithms and can be implemented for data encryption and decryption.…”
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An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir
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Hybrid harmony search algorithm for continuous optimization problems
Published 2020“…Harmony Search (HS) algorithm has been extensively adopted in the literature to address optimization problems in many different fields, such as industrial design, civil engineering, electrical and mechanical engineering problems. …”
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Performance evaluation of intrusion detection system using selected features and machine learning classifiers
Published 2021“…These evolutionary-based algorithms are known to be effective in solving optimization problems. …”
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Computational methods for self-assembly of DNA nanostructures / Ong Hui San
Published 2016“…Several approaches have been adopted including development of an autonomous tool that incorporated evolutionary optimization algorithm in constructing these heterogeneous DNA shapes and the application of heuristic through undirected graph theory as an annotation schema to produce the connectivity maps. …”
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Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images
Published 2015“…A reduction from 69.1 to 50.2 is achieved for the proposed evolutionary hypothesis test. …”
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