MIDACO swMATH ID: 4775 Software Authors: MIDACO-SOLVER Description: Mixed Integer Distributed Ant Colony Optimization. MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise. For cpu-time expensive applications, MIDACO offers an efficient parallelization strategy. The software is available in several programming languages, such as Excel, Matlab, Python, R, C/C++ and Fortran. Homepage: http://www.midaco-solver.com/ Related Software: Matlab; MINLPLib; BARON; GTOP; Python; GTOPX; NOMAD; MultiMin; DFBOX_IMPR; DFLBOX; DFLGEN; BFO; RBFOpt; MISO; MCS; SO-I; OrthoMADS; SNOBFIT; DAKOTA; DFL Cited in: 4 Documents Further Publications: http://www.midaco-solver.com/index.php/about/publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year A numerical study of MIDACO on 100 MINLP benchmarks. Zbl 1260.90149Schlüter, Martin; Gerdts, Matthias; Rückmann, Jan-J. 2012 all top 5 Cited by 7 Authors 2 Gerdts, Matthias 2 Schlüter, Martin 1 Nataraj, Paluri S. V. 1 Patil, Bhagyesh V. 1 Ploskas, Nikolaos 1 Rückmann, Jan-Joachim 1 Sahinidis, Nikolaos V. Cited in 3 Serials 2 Journal of Global Optimization 1 Optimization 1 Mathematics in Computer Science Cited in 2 Fields 4 Operations research, mathematical programming (90-XX) 1 Numerical analysis (65-XX) Citations by Year