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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 5 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. ...
IPPS
2006
IEEE
15 years 5 months ago
A parallel memetic algorithm applied to the total tardiness machine scheduling problem
This work proposes a parallel memetic algorithm applied to the total tardiness single machine scheduling problem. Classical models of parallel evolutionary algorithms and the gene...
Vinícius Garcia, Paulo M. França, Al...
AUSAI
2004
Springer
15 years 4 months ago
An ACO Algorithm for the Most Probable Explanation Problem
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...
ATMOS
2007
183views Optimization» more  ATMOS 2007»
15 years 17 days ago
Solving Large Scale Crew Scheduling Problems by using Iterative Partitioning
This paper deals with large-scale crew scheduling problems arising at the Dutch railway operator, Netherlands Railways (NS). We discuss several methods to partition large instances...
Erwin J. W. Abbink, Joel Van't Wout, Dennis Huisma...
JUCS
2008
159views more  JUCS 2008»
14 years 11 months ago
Two Step Swarm Intelligence to Solve the Feature Selection Problem
: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. The basic idea is to split the heuristic search performed by agents into two sta...
Yudel Gómez, Rafael Bello, Amilkar Puris, M...