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CEC
2009
IEEE
14 years 1 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
14 years 1 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
ICALP
2001
Springer
14 years 28 days ago
Permutation Editing and Matching via Embeddings
Abstract. If the genetic maps of two species are modelled as permutations of (homologous) genes, the number of chromosomal rearrangements in the form of deletions, block moves, inv...
Graham Cormode, S. Muthukrishnan, Süleyman Ce...
KES
1999
Springer
14 years 21 days ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
EVOW
1994
Springer
14 years 16 days ago
Competitive Evolution: A Natural Approach to Operator Selection
One of the main problems in applying evolutionary optimisation methods is the choice of operators and parameter values. This paper propose a competitive evolution method, in which ...
Q. Tuan Pham