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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 1 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
PPSN
1998
Springer
13 years 12 months ago
On Genetic Algorithms and Lindenmayer Systems
This paper describes a system for simulating the evolution of artificial 2D plant morphologies. Virtual plant genotypes are inspired by the mathematical formalism known as Lindenma...
Gabriela Ochoa
PPSN
1994
Springer
13 years 11 months ago
A Representation Scheme To Perform Program Induction in a Canonical Genetic Algorithm
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
Mark Wineberg, Franz Oppacher
CIKM
2009
Springer
14 years 2 months ago
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...
Hyunsik Choi, Jihoon Son, YongHyun Cho, Min Kyoung...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 10 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague