Abstract
This paper presents a novel evolutionary algorithm inspired by protein/substrate binding exploited in enzyme genetic programming (EGP) and artificial immune networks. The immune network-inspired evolutionary algorithm has been developed in direct response to an application in clinical neurology, the diagnosis of Parkinson's disease. The inspiration for, and implementation of the algorithm is described and its performance to the application area considered.
| Original language | English |
|---|---|
| Pages (from-to) | 34-46 |
| Number of pages | 13 |
| Journal | BioSystems |
| Volume | 94 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - Oct 2008 |
Keywords
- Artificial immune systems
- Evolutionary algorithms
- Immune networks
- Parkinson's disease
- Biological Evolution
- Models, Theoretical
- Algorithms
- Computer Simulation
- Humans
- Computational Biology/methods
- Immune System Phenomena
- Parkinson Disease/diagnosis