Fitness optimization and evolution of permanent replicator systems.
Sergei Drozhzhin, Tatiana Yakushkina, Alexander S Bratus
Author Information
Sergei Drozhzhin: Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia, 119992.
Tatiana Yakushkina: Department of Business Informatics, National Research University Higher School of Economics, Moscow, Russia, 101000. tyakushkina@hse.ru. ORCID
Alexander S Bratus: Institute of Management and Digital Technologies, Russian University of Transport, Moscow, Russia, 127994.
In this paper, we discuss fitness landscape evolution of permanent replicator systems applying the hypothesis that the specific time of evolutionary adaptation of system parameters is much slower than the time of internal evolutionary dynamics. In other words, we suppose that the extremal principle of Darwinian evolution based on Fisher's fundamental theorem of natural selection is valid for the steady-states of permanent replicator systems. Various cases illustrating this concept are considered.
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