Urban population prediction based on multi-objective lioness optimization algorithm and system dynamics model.

ABSTRACT: Population size is closely related to economic and social development and change. It is one of the primary and essential elements of overall urban development planning to formulate a population development strategy scientifically through population projections. Therefore, we propose an urban population prediction model based on a multi-objective lioness optimization algorithm and system dynamics. The multi-objective lioness optimization algorithm is used to optimize some critical parameters of the system dynamics model to reduce the subjectivity of the model construction. Taking Xi'an as an example, the validity of the model is verified, and the population size of Xi'an from 2019 to 2050 is predicted by the model. In addition, the impact of different policies and their combinations on the

SUBMITTER: Li D 

PROVIDER: S-EPMC10363121 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature