Hybrid evolutionary algorithms for large scale continuous problems

Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009

Volumn , Issue , 2009, Pages 1863-1864

  LaTorre, Antonio ^a   Peña, José María ^a   Muelas, Santiago ^a   Zaforas, Manuel ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Continuous optimization; Differential evolution; Evolution strategies; Genetic algorithms; Hybrid evolutionary methods; Large scale problems; Multiple offspring sampling

Indexed keywords

CONTINUOUS OPTIMIZATION; DIFFERENTIAL EVOLUTION; EVOLUTION STRATEGIES; HYBRID EVOLUTIONARY METHOD; LARGE SCALE PROBLEMS; LARGE-SCALE PROBLEM;

OPTIMIZATION; POPULATION STATISTICS; WATER ANALYSIS;

GENETIC ALGORITHMS;

EID: 72749126574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1569901.1570205     Document Type: Conference Paper

References (2)

1. C. Grosan and A. Abraham. Hybrid evolutionary algorithms: Methodologies, architectures, and reviews. In Hybrid Evolutionary Algorithms, volume 75 of Studies in Computational Intelligence, pages 1-17. Springer-Verlag GmbH, 2007.
2. A. LaTorre, J.M. Peña, V. Robles, and P. de Miguel. Supercomputer scheduling with innovative evolutionary techniques. In Meta-heuristics for Scheduling: Distributed Computing Environments,volume 146 of Studies in Computational Intelligence. Springer Verlag, Germany, 2008.