Optimal Control of Evolutionary Dynamics
| dc.creator | Chakrabarti, Raj | |
| dc.creator | Rabitz, Herschel | |
| dc.creator | McLendon, George | |
| dc.date | 2008-06-13 | |
| dc.date.accessioned | 2026-07-07T09:44:40Z | |
| dc.date.available | 2026-07-07T09:44:40Z | |
| dc.description | 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. | |
| dc.description | Extends "Mutagenic evidence for the optimal control of evolutionary dynamics" (accepted, Physical Review Letters) | |
| dc.identifier | https://arxiv.org/abs/0806.2331 | |
| dc.identifier | http://arxiv.org/abs/0806.2331 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/162956 | |
| dc.subject | Molecular Networks | |
| dc.subject | Biological Physics | |
| dc.subject | Populations and Evolution | |
| dc.title | Optimal Control of Evolutionary Dynamics | |
| dc.type | text |