We describe the LamarckiAnt algorithm: a search algorithm that combines the features of a "Lamarckianâ 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.
['Mark T. Oakley', 'Elizabeth Grace Richardson', 'Harriet Carr', 'Roy L. Johnston']
Protein Structure Optimization with a "Lamarckian" Ant Colony Algorithm