A Hybrid Seachr Architecture Applied to Hard Random 3-SAT and Low-Autocorrelation Binary Sequences
CP '02 Proceedings of the 6th International Conference on Principles and Practice of Constraint Programming
A memetic algorithm for the low autocorrelation binary sequence problem
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Engineering Stochastic Local Search for the Low Autocorrelation Binary Sequence Problem
CP '08 Proceedings of the 14th international conference on Principles and Practice of Constraint Programming
Finding low autocorrelation binary sequences with memetic algorithms
Applied Soft Computing
GRASP for low autocorrelated binary sequences
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
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The Low Autocorrelation Binary Sequences problem (LABS) is problem 005 in the CSPLIB library, where it is stated that “these problems pose a significant challenge to local search methods”. This paper presents a straighforward tabu search that systematically finds the optimal solutions for all tested instances.