Geodesic
A Mixed Integer Quadratic Programming Model for the Low Autocorrelation Binary Sequence Problem
Serdica Journal of Computing, Tome 6 (2012) no. 4, pp. 385-400.

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In this paper the low autocorrelation binary sequence problem (LABSP) is modeled as a mixed integer quadratic programming (MIQP) problem and proof of the model’s validity is given. Since the MIQP model is semidefinite, general optimization solvers can be used, and converge in a finite number of iterations. The experimental results show that IQP solvers, based on this MIQP formulation, are capable of optimally solving general/skew-symmetric LABSP instances of up to 30/51 elements in a moderate time. ACM Computing Classification System (1998): G.1.6, I.2.8.
Keywords: Integer Programming, Quadratic Programming, Low Autocorrelation Binary Sequence Problem 
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Kratica, Jozef. A Mixed Integer Quadratic Programming Model for the Low Autocorrelation Binary Sequence Problem. Serdica Journal of Computing, Tome 6 (2012) no. 4, pp. 385-400. http://geodesic.mathdoc.fr/item/SJC_2012_6_4_a1/