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» Critical control of a genetic algorithm
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 4 months ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
14 years 4 months ago
Unbiased tournament selection
Tournament selection is a popular form of selection which is commonly used with genetic algorithms, genetic programming and evolutionary programming. However, tournament selection...
Artem Sokolov, Darrell Whitley
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
14 years 23 days 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»
14 years 4 months 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
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 12 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