Automated multi-objective calibration of biological agent-based simulations.

ABSTRACT: Computational agent-based simulation (ABS) is increasingly used to complement laboratory techniques in advancing our understanding of biological systems. Calibration, the identification of parameter values that align simulation with biological behaviours, becomes challenging as increasingly complex biological domains are simulated. Complex domains cannot be characterized by single metrics alone, rendering simulation calibration a fundamentally multi-metric optimization problem that typical calibration techniques cannot handle. Yet calibration is an essential activity in simulation-based science; the baseline calibration forms a control for subsequent experimentation and hence is fundamental in the interpretation of results. Here, we develop and showcase a method, built around multi-objecti

SUBMITTER: Read MN 

PROVIDER: S-EPMC5046954 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature