In the Multi-objective Traveling Salesman Problem (moTSP)
simultaneous optimization of more than one objective functions is
required. This paper proposes hybrid algorithm to solve the multiobjectives
Traveling Salesman problem through the integration of
the ant colony optimization algorithm with the Genetic algorithm.
Molecular docking is a hard optimization problem that has been
tackled in the past, demonstrating new and challenging results when
looking for one objective . However, only a few papers can be
found in the literature that deal with this problem by
means of a
multi-objective approach, and no experimental comparisons have
been made in order to clarify which of them has the best overall
performance. In this research, we use and compare, a set of
representative multi-objective optimization algorithms. The
approach followed is focused on optimizing the inter-molecular and
intra-molecular energies as two main objectives to minimize.
