Protein structure optimization with a "Lamarckian" ant colony algorithm
Research output: Contribution to journal › Article
Colleges, School and Institutes
- University of Birmingham, Birmingham.
We describe the LamarckiAnt algorithm: a search algorithm that combines the features of a "Lamarckian" genetic algorithm and ant colony optimization. We have implemented this algorithm for the optimization of BLN model proteins, which have frustrated energy landscapes and represent a challenge for global optimization algorithms. We demonstrate that LamarckiAnt performs competitively with other state-of-the-art optimization algorithms.
|Number of pages||5|
|Journal||IEEE - ACM Transactions on Computational Biology and Bioinformatics|
|Early online date||8 Oct 2013|
|Publication status||Published - Nov 2013|
- Ant colony optimization, coarse-grained model proteins, Bioinformatics, Computational biology, Genetic algorithms, Minimization, Optimization, Proteins