Optimal Control of Evolutionary Dynamics
Molecular Networks
2008-06-17 v1 Biological Physics
Populations and Evolution
Abstract
Elucidating the fitness measures optimized during the evolution of complex biological systems is a major challenge in evolutionary theory. We present experimental evidence and an analytical framework demonstrating how biochemical networks exploit optimal control strategies in their evolutionary dynamics. Optimal control theory explains a striking pattern of extremization in the redox potentials of electron transport proteins, assuming only that their fitness measure is a control objective functional with bounded controls.
Cite
@article{arxiv.0806.2331,
title = {Optimal Control of Evolutionary Dynamics},
author = {Raj Chakrabarti and Herschel Rabitz and George McLendon},
journal= {arXiv preprint arXiv:0806.2331},
year = {2008}
}
Comments
Extends "Mutagenic evidence for the optimal control of evolutionary dynamics" (accepted, Physical Review Letters)