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EUROPAR
2006
Springer
15 years 10 months ago
Surrounding Theorem: Developing Parallel Programs for Matrix-Convolutions
Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
Kento Emoto, Kiminori Matsuzaki, Zhenjiang Hu, Mas...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
Experiments with indexed FOR-loops in genetic programming
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
Gayan Wijesinghe, Victor Ciesielski
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 7 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 8 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
16 years 22 days ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae