Results 1 to 10 of about 41,851 (257)
Evolutionary Schema of Modeling Based on Genetic Algorithms [PDF]
Studies in Logic, Grammar and Rhetoric, 2015 In this paper, I propose a populational schema of modeling that consists of: (a) a linear AFSV schema (with four basic stages of abstraction, formalization, simplification, and verification), and (b) a higher-level schema employing the genetic algorithm (
Stacewicz Paweł
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Proposing an efficient mathematical model for the continuous layout design in a cellular manufacturing system The real-case of BATA company [PDF]
مدیریت تولید و عملیات, 2022 Purpose: The fundamental function of a cellular manufacturing system (CMS) is based on the definition and recognition of the type of similarity among the parts that should be produced in a planning period. Cell formation (CF) and cell/machine layouts are
Amir-Mohammad Golmohammadi +2 more
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Drone Control using the Coupling of the PID Controller and Genetic Algorithm
Communications, 2021 Due to their strong abilities and easy usage, unmanned aerial vehicles (UAVs) commonly named drones have found a place and merged in the different industrial sectors.
Mohamed Elajrami +2 more
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Performance Enhancement of Data Classification using Selectively Cloned Genetic Algorithm for Neural Network [PDF]
International Journal of Computational Intelligence Systems, 2010 The paper demonstrates performance enhancement using selective cloning on evolutionary neural network over the conventional genetic algorithm and neural back propagation algorithm for data classification.
Devinder Kaur, Praneeth Nelapati
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Frontiers in Oncology, 2022 ObjectiveTo use machine learning methods to explore overall survival (OS)-related prognostic factors in elderly multiple myeloma (MM) patients.MethodsData were cleaned and imputed using simple imputation methods.
Li Bao +12 more
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Multi-objective database queries in combined knapsack and set covering problem domains
Journal of Big Data, 2021 Database queries are one of the most important functions of a relational database. Users are interested in viewing a variety of data representations, and this may vary based on database purpose and the nature of the stored data.
Sean A. Mochocki +3 more
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Heliyon, 2023 Convolutional neural networks (CNNs) have demonstrated exceptional results in the analysis of time- series data when used for Human Activity Recognition (HAR).
Walaa N. Ismail +3 more
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PLoS ONE, 2022 Evolutionary computing (EC) is an area of computer sciences and applied mathematics covering heuristic optimization algorithms inspired by evolution in Nature.
Alexander V Spirov +1 more
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Metaheuristic Approaches for One-Dimensional Bin Packing Problem: A Comparative Performance Study
IEEE Access, 2020 Nature-inspired metaheuristic algorithms have steadily gained popularity over the last two decades. They have been applied to a plethora of optimization problems both in continuous and combinatorial domains. In this paper, the one-dimensional bin packing
Chanalea Munien +5 more
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Optimal coverage multi-path scheduling scheme with multiple mobile sinks for WSNs [PDF]
, 2020 Wireless Sensor Networks (WSNs) are usually formed with many tiny sensors which are randomly deployed within sensing field for target monitoring. These sensors can transmit their monitored data to the sink in a multi-hop communication manner.
Gao, Yu +4 more
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