Evolutionary algorithms for routing problems with drones with interceptions by Ernst, Rudolf Heinrich

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Hard hitting facts on childhood head trauma: an epidemiological analysis by Ferreira, Yolandi

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Simulation and optimization model for the construction of electrical substations by Fayed, Rania

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A qualitative model of evolutionary algorithms by Fagan, Francois

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Structural optimisation via genetic algorithms by Appelo, Sophia Aletta

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Body and brain quality-diversity in robot swarms by Mkhatshwa, Sindiso

“…According to recent research, decentralized Quality Diversity (QD) algorithms can generate behavioral diversity across a swarm without requiring geographical isolation or a division of labor mechanism. …”
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Prediction of construction material prices using macroeconomic indicators: A neural networks model by Shiha, Ahmed

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Rank matrix cascade algorithm, hermite interpolation by Dongmo, Guy Blaise

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An investigation of dead-zone pattern matching algorithms by Mauch, Melanie Barbara

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Algorithmic randomness on computable metric spaces and hyperspaces by Birch, Thomas

“…The aim of this generalization is to define algorithmic randomness on the hyperspace of non-empty compact subsets of a computable metric space, the study of which was first proposed by Barmpalias et al. [16] at the University of Florida in their work on the random closed subsets of the Cantor space. …”
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A polynomial time algorithm for prime recognition

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Internet of things : least interference beaconing algorithms by Tuyishimire, Emmanuel

“…These enhancements present preventive mechanisms to include in IoT platforms in order to improve traffic engineering, the security of network protocols and network stability. Lastly, we present analytical results, which reveal that the LIBA algorithm can be improved by more than 84% in terms of energy balancing. …”
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Analysis of Machine Learning Algorithms for Time Series Prediction by Naidoo, Kimendree

“…Due to the rapidly increasing prominence of Artificial Intelligence in the last decade and the advancements in technology such as processing power and data storage, there has been increased interest in applying machine learning algorithms to time series prediction problems. …”
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Channel estimation and tracking algorithms for vehicle to vehicle communications by Awad, Moustafa

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GAdaboost: Accelerating adaboost feature selection with genetic algorithms by Tolba, Mai

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Extensions to the ant-miner classification rule discovery algorithm by Salama, Khalid Magdy

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Design of power system stabilizers using evolutionary algorithms by Sheetekela, Severus Panduleni Napandulwe

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A discourse concerning certain stochastic optimization algorithms and their application to the imaging of cataclysmic variable stars

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ADR-Miner: An Ant-based data reduction algorithm for classification by Abdel Salam, Ismail Mohamed Anwar

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