We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...
Abstract. The previously proposed cunning ant system (cAS), a variant of the ACO algorithm, worked well on the TSP and the results showed that the cAS could be one of the most prom...
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Ant Colony Optimization (ACO) is inspired by the ability of ant colonies to find shortest paths between their nest and a food source. We analyze the running time of different ACO...
The prediction of a protein’s structure from its amino-acid sequence is one of the most important problems in computational biology. In the current focus on a widely studied abst...