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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 11 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
16 years 5 days ago
A building-block royal road where crossover is provably essential
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
Richard A. Watson, Thomas Jansen
GPEM
2006
97views more  GPEM 2006»
15 years 6 months ago
Evolving recursive programs by using adaptive grammar based genetic programming
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
Man Wong
152
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ICCSA
2004
Springer
15 years 11 months ago
Speculative Parallelization of a Randomized Incremental Convex Hull Algorithm
Finding the fastest algorithm to solve a problem is one of the main issues in Computational Geometry. Focusing only on worst case analysis or asymptotic computations leads to the d...
Marcelo H. Cintra, Diego R. Llanos Ferraris, Bel&e...
SC
1994
ACM
15 years 10 months ago
A parallel formulation of interior point algorithms
In recent years, interior point algorithms have been used successfully for solving mediumto large-size linear programming LP problems. In this paper we describe a highly parallel ...
George Karypis, Anshul Gupta, Vipin Kumar