Concorde has been applied to problems of gene mapping,[1]protein function prediction,[2]vehicle routing,[3] conversion of bitmap images to continuous line drawings,[4] scheduling ship movements for seismic surveys,[5] and in studying the scaling properties of combinatorial optimization problems.[6]
According to Mulder & Wunsch (2003), Concorde “is widely regarded as the fastest TSP solver, for large instances, currently in existence.” In 2001, Concorde won a 5000 guilder prize from CMG for solving a vehicle routing problem the company had posed in 1996.[7]
Hitte, C.; Lorentzen, T. D.; Guyon, R.; Kim, L.; Cadieu, E.; Parker, H. G.; Quignon, P.; Lowe, J. K.; et al. (2003), "Comparison of MultiMap and TSP/CONCORDE for constructing radiation hybrid maps", Journal of Heredity, 94 (1): 9–13, doi:10.1093/jhered/esg012, PMID12692156.
Johnson, Olin; Liu, Jing (2006), "A traveling salesman approach for predicting protein functions", Source Code for Biology and Medicine, 1: 3, doi:10.1186/1751-0473-1-3, PMC1636333, PMID17147783.
Mulder, Samuel A.; Wunsch, Donald C., II (2003), "Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks", Neural Networks, 16 (5–6): 827–832, doi:10.1016/S0893-6080(03)00130-8, PMID12850040{{citation}}: CS1 maint: multiple names: authors list (link).