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GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 8 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
PEPM
1994
ACM
13 years 11 months ago
Dictionary-Free Overloading by Partial Evaluation
One of the most novel features in the functional programming language Haskell is the system of type classes used to support a combination of overloading and polymorphism. Current ...
Mark P. Jones
ICLP
1997
Springer
13 years 11 months ago
Parallel Evaluation Strategies for Functional Logic Languages
We introduce novel, sound, complete, and locally optimal evaluation strategies for functional logic programming languages. Our strategies combine, in a non-trivial way, two landma...
Sergio Antoy, Rachid Echahed, Michael Hanus
PPOPP
2012
ACM
12 years 3 months ago
DOJ: dynamically parallelizing object-oriented programs
We present Dynamic Out-of-Order Java (DOJ), a dynamic parallelization approach. In DOJ, a developer annotates code blocks as tasks to decouple these blocks from the parent executi...
Yong Hun Eom, Stephen Yang, James Christopher Jeni...
PRL
2007
200views more  PRL 2007»
13 years 7 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec