Revealing Evolutionarily Optimal Strategies in Self-Reproducing Systems via a New Computational Approach.

ABSTRACT: Modelling the evolution of complex life history traits and behavioural patterns observed in the natural world is a challenging task. Here, we develop a novel computational method to obtain evolutionarily optimal life history traits/behavioural patterns in population models with a strong inheritance. The new method is based on the reconstruction of evolutionary fitness using underlying equations for population dynamics and it can be applied to self-reproducing systems (including complicated age-structured models), where fitness does not depend on initial conditions, however, it can be extended to some frequency-dependent cases. The technique provides us with a tool to efficiently explore both scalar-valued and function-valued traits with any required accuracy. Moreover, the method can be im

SUBMITTER: Sandhu SK 

PROVIDER: S-EPMC6874526 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature