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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 26 days ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson
CISIS
2010
IEEE
16 years 21 hour ago
A Parallel Programming Framework for Multi-core DNA Sequence Alignment
—A new parallel programming framework for DNA sequence alignment in homogeneous multi-core processor architectures is proposed. Contrasting with traditional coarse-grained parall...
Tiago Jose Barreiros Martins de Almeida, Nuno Fili...
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 12 months ago
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung
IPPS
1999
IEEE
15 years 11 months ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
ICDCS
1998
IEEE
15 years 11 months ago
Granularity Control for Distributed Execution of Logic Programs
Distributed execution of logic programs requires a match of granularity between a program and the distributed multi-processor it runs on to exploit its potential for performance f...
George Xirogiannis