MIDACO is a software package for single- and multi-objective optimization problems based on evolutionary computing (particular Ant Colony Optimization). MIDACO is short for Mixed Integer Distributed Ant Colony Optimization and was created in collaboration of Europeans Space Agency and EADS Astrium to solve constrained non-linear mixed-integer (MINLP) space applications .
MIDACO is a software package for single- and multi-objective optimization problems based on evolutionary computing (particular Ant Colony Optimization). MIDACO is short for Mixed Integer Distributed Ant Colony Optimization and was created in collaboration of Europeans Space Agency and EADS Astrium to solve constrained non-linear mixed-integer (MINLP) space applications . The MIDACO software holds several record solutions on interplanetary spaceflight trajectory design benchmark problems announced by Europeans Space Agency.The MIDACO algorithm has been designed to fit general purpose (black-box) optimization problems and was applied in different academic and industrial areas by various authors .MIDACO is integrated into several academic and commercial software packages, including TOMLAB[1], Astos[2], PyOpt, DiscoverSim and InuTech,MIDACO is available in several programming languages, including Excel, C, C++, Fortran, C#, Java, Python, MATLAB and R;MIDACO supports several options for distributed computing (parallelization), including OpenMP, MPI, GPGPU, Apache Spark and Fork/Join.MIDACO is a sponsor of Eco-Runner Team Delft[3].