iMOACO_R: A multi-objective ant colony optimizer for continuous search spaces based on R2

Jesús Guillermo Falcón Cardona developed the first multi-objective ant colony optimizer for many-objective continuous optimization problems. This approach, called iMOACO_R, is based on ACO_R and on the performance indicator R2.


Its source code is available here.


For more information about this approach, see:

Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, A New Indicator-Based Many-Objective Ant Colony Optimizer for Continuous Search Spaces, Swarm Intelligence, Vol. 11, No. 1, pp. 71-100, March 2017.