J.-H. Lin, M.-R. Lin, and L.-R. Huang (Taiwan)
swarm intelligence, protein structure prediction, protein folding, conformational space search
We have developed and implemented a bee swarm
optimization algorithm to determine the best energy
minimum for oligopeptides. Our test molecule was Met
enkephalin, a pentapetide that over the years has been
used as a validation model for many global optimizers.
The test potential energy function was ECEPP/3. This
paper presents a novel Bee Swarm Optimization intended
to introduce chaotic sequences and psychology factor of
emotion into the algorithm. The results indicate that the
proposed Bee Swarm Optimization is an efficient
algorithm for conformational searches.