Results 11 to 20 of about 240,959 (297)
Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains [PDF]
Xibei Gongye Daxue Xuebao, 2018 In this paper, based on task sequence and time constraint in the SEAD mission of multi-UAV, a heterogeneous multi-UAV cooperative task assignment mathematical model is established. We put forward a hybrid algorithm GSA-GA(gravity search algorithm-genetic
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Digital Communications and Networks, 2016 The security incidents ion networks are sudden and uncertain, it is very hard to precisely predict the network security situation by traditional methods.
Haibo Zhang +3 more
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Optimizing Random Forest using Genetic Algorithm for Heart Disease Classification
Lontar Komputer, 2022 Heart disease is a leading cause of death worldwide, and the need for effective predictive systems is a major source of the need to treat affected patients.
Parmonangan R. Togatorop +3 more
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Exploring human genome feature for improving genetic algorithm performance [PDF]
MATEC Web of Conferences, 2019 Genetic algorithm (i.e., GA) has longtermly obtained an extensive recognition for solving the optimization problem. Its pipelines process, which involves several operations, has been applied in many NP-hard problems, including the transportation network ...
Zukhruf Febri +4 more
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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Li, Chenghua +3 more
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Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ, 2021 In this paper, the genetic algorithm (GA) which is a stochastic optimization algorithm is proposed. The genetic algorithm is echoing the natural selection and genetics. The control of the suggested plant can be done in different ways.
Ghaith Majd Fadhil +2 more
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Extracting Boolean rules from CA patterns [PDF]
, 2000 A multiobjective genetic algorithm (GA) is introduced to identify both the neighborhood and the rule set in the form of a parsimonious Boolean expression for both one- and two-dimensional cellular automata (CA). Simulation results illustrate that the new
Billings, S.A., Yang, Y.X.
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Genetic Algorithm (GA) for Multiprocessors Scheduling
International Journal of Engineering & Technology, 2018 In a multiprocessors environment, an algorithm is used to effectively delegate tasks to the processors. The algorithm act as the resource distributor and controller to ensure that the processors are equally utilized thus optimizing the usage of the processors.
Sainuddin Mohd Jufri +6 more
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Genetic Drift and its Effects on the Performance of Genetic Algorithm(GA)
2023 International Conference on Robotics and Automation in Industry (ICRAI), 2023 A genetic algorithm (GA) is a meta-heuristic computation method that is inspired by Darwin's theory of evolution. GA has a promising future in optimization and search problems. It has caught the interest of researchers in the fields of data science, artificial intelligence, and mathematics among many others.
Ullah, S, Masood, M
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Topology optimization of computer communication network based on improved genetic algorithm
Journal of Intelligent Systems, 2022 The topology optimization of computer communication network is studied based on improved genetic algorithm (GA), a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the ...
Ai Hua +3 more
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