Genetic Algorithm for Solution of the Problem of Optimal Location of the Distributed Electrical Networks

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@InProceedings{Goncharenko:2020:ACIT,

• author = "Dmytro Goncharenko and Andrii Oliinyk and Ievgen Fedorchenko and Serhii Korniienko` and Alexander Stepanenko and Anastasia Kharchenko and Yuliia Fedorchenko",
• title = "Genetic Algorithm for Solution of the Problem of Optimal Location of the Distributed Electrical Networks",
• booktitle = "2020 10th International Conference on Advanced Computer Information Technologies (ACIT)",
• year = "2020",
• pages = "380--385",
• abstract = "The problem of the optimisation of location of elements in the complex distributed power supply systems is considered in this paper. The article proposes a mathematical model of solving the problem of optimal location of multiple power supply and consumer assigning in the electric supply system. A modified genetic algorithm for solving this problem has been developed based on the methods of evolutionary modeling and genetic programming. The results of experiments showed good performance of the proposed genetic algorithm and the possibility of its application for the optimal placement of power sources in a distributed electrical network.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ACIT49673.2020.9208888",
• month = sep,
• notes = "Also known as \cite{9208888}",

}

Genetic Programming entries for Dmytro Goncharenko Andrii Oliinyk Ievgen Fedorchenko Serhii Korniienko` Alexander Stepanenko Anastasia Kharchenko Yuliia Fedorchenko

Citations