MACCO: Memetic-Ant-Colony-Constrained-​Optimization.

 

MACCO (Memetic-Ant-Colony-Constrained-Optimization) software implements a Global Search Heuristic based on a Memetic modification of the Ant Colony Optimization Algorithm (see 1.) ; the proposed memetic approach periodically improve the best solution with a local search algorithm. MACCO solves both constrained and unconstrained optimization:

 

 

 

 

 

 

 

 

 

 

 

 

 

In case of constrained optimization the Non-Monotone Trust-Region  Algorithm for Nonlinear Optimization Problems subject to General Constraints is used for local the local search procedure; in case of unconstrained optimization problem a Non-Monotone Trust-Region Algorithm for Nonlinear Optimization Problems subject to bound constraints is used instead.

 

1. "Extended Ant Colony Optimization for non-convex Mixed Integer Nonlinear Programming", Schlueter M., Egea J. A., Banga J. R., Computers & Operations Research (Elsevier), Vol. 36, Issue 7, Pages 2217-2229 (2009).