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Solving the Traveling Salesman Problem Based on The Genetic Reactive Bone Route Algorithm whit Ant Colony System
Published 2016-07-01“…The TSP is considered one of the most well-known combinatorial optimization tasks and researchers have paid so much attention to the TSP for many years. …”
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Research on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mi>F</mi> <mrow> <msup> <mi>p</mi> <mn>2</mn> </msup> </mrow> </msub></math></inline-formula>-FIOSmodular multiplication algorithm for bilinear pairs and its implementation architecture
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Data security and protection techniques in big data:a survey
Published 2016-04-01“…Big Data has attracted tremendous attention from all over the world nowadays.Its sheer volume,complex structure and realtime processing requirements often obsolete traditional technologies when coming to provide suffi-cient security protection.To address this challenge,significant research efforts have been carried out by the research community since recent years.Different technical aspects of big data security,including encryption algorithms,data integrity auditing,access control,secure data duplication,assured deletion,and secure search were surveyed,and in-depth discussions on their pros and cons were provided.Various future research directions were also discussed.…”
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Dynamic Task Planning for Multi-Arm Apple-Harvesting Robots Using LSTM-PPO Reinforcement Learning Algorithm
Published 2025-03-01“…The system’s performance is validated through simulations in both static and dynamic environments, with the algorithm demonstrating significant improvements in task completion time and robot efficiency compared to existing strategies. …”
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Machine learning algorithms for maize yield prediction with multispectral imagery: Assessing robustness across varied growing environments
Published 2025-12-01“…Among five ML algorithms tested, the Extra Trees Regressor (ETR) showed superior performance at predicting maize yield across most maize growth phases. …”
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TeamPlus: A data-driven tool utilizing a Genetic Algorithm for optimal software team formation
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm.
Published 2025-01-01“…In the information age, the effectiveness of image processing determines the quality of a large number of image analysis tasks. A fusion algorithm-based processing technique was proposed to process key image information. …”
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Energy Efficiency in Smart Buildings through Prediction modeling and Optimization Using a Modified Whale Optimization Algorithm
Published 2024-01-01“…The primary focus is on evaluating the performance of two prominent and widely-used machine learning algorithms: Artificial Neural Networks (ANN) and Random Forest (RF). …”
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Artificial Intelligence and Architectural Design Before Generative AI: Artificial Intelligence Algorithmics Approaches 2000–2022 in Review
Published 2025-04-01“…Through a Bibliometric review of publications indexed in Scopus, Web of Science, and CumInCAD, the research examines the adoption of specific algorithmic approaches: Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), and Agent‐Based Systems(ABS). …”
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Review of State Estimation Methods for Autonomous Ground Vehicles: Perspectives on Estimation Objects, Vehicle Characteristics, and Key Algorithms
Published 2025-06-01“…Based on the discussion of the importance, development history, and application fields of this topic of research, it focuses on analyzing vehicle state estimation techniques from different perspectives, namely (1) from the perspective of the estimation objects, including vehicle attitude and driving state estimations, chassis component key dynamic parameter estimations, and vehicle driving environment state estimations; (2) from the perspective of vehicle characteristics, including vehicle dynamics coupling characteristics, vehicle multi-source information redundancy characteristics, and vehicle state transition characteristics; (3) from the perspective of key estimation algorithms, including model-based Kalman filtering algorithms, data-driven machine learning algorithms, and optimization estimation algorithms combining mechanism-based and data-driven approaches. …”
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Optimizing the Design of TES Tanks for Thermal Energy Storage Applications Through an Integrated Biomimetic-Genetic Algorithm Approach
Published 2025-03-01“…Building upon an experimentally validated bio-inspired thermal energy storage (TES) tank design, this study introduced a novel computational framework that integrated genetic algorithms (GA) with biomimetic principles to systematically generate TES tank geometries. …”
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