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EVOLUTIONARY ALGORITHM INSPIRED BY THE METHODS OF QUANTUM COMPUTER SCIENCES FOR THE IMPROVEMENT OF A NEURAL MODEL OF THE ELECTRIC POWER EXCHANGE
Author(s) -
Jerzy Tchórzewski,
Dariusz Ruciński
Publication year - 2017
Publication title -
information systems in management
Language(s) - English
Resource type - Journals
eISSN - 2544-1728
pISSN - 2084-5537
DOI - 10.22630/isim.2017.6.4.8
Subject(s) - crossover , matlab , artificial neural network , evolutionary algorithm , computer science , genetic algorithm , algorithm , quantum , power (physics) , electric power , population , artificial intelligence , machine learning , physics , quantum mechanics , demography , sociology , operating system

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