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CP
2008
Springer
13 years 6 months ago
Engineering Stochastic Local Search for the Low Autocorrelation Binary Sequence Problem
Abstract. This paper engineers a new state-of-the-art Stochastic Local Search (SLS) for the Low Autocorrelation Binary Sequence (LABS) problem. The new SLS solver is obtained with ...
Steven Halim, Roland H. C. Yap, Felix Halim
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
13 years 11 months ago
A memetic algorithm for the low autocorrelation binary sequence problem
Finding binary sequences with low autocorrelation is a very hard problem with many practical applications. In this paper we analyze several metaheuristic approaches to tackle the ...
José E. Gallardo, Carlos Cotta, Antonio J. ...
COMPSAC
2002
IEEE
13 years 9 months ago
Parallel Genetic Algorithms with Schema Migration
Genetic algorithms (GAs) are efficient non-gradient stochastic search methods. Parallel GAs are proposed to overcome the deficiencies of sequential GAs, such as low speed and aptn...
Baowen Xu, Yu Guan, Zhenqiang Chen, Karl R. P. H. ...