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126
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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 11 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
132
Voted
GECCO
2007
Springer
188views Optimization» more  GECCO 2007»
15 years 11 months ago
Using genetic algorithms for naval subsystem damage assessment and design improvements
Some auxiliary systems of next generation naval ships will utilize distributed automatic control. Such distributed control systems will use interconnected sensors, actuators, cont...
Christopher McCubbin, David Scheidt, Oliver Bandte...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
15 years 11 months ago
Best SubTree genetic programming
The result of the program encoded into a Genetic Programming (GP) tree is usually returned by the root of that tree. However, this is not a general strategy. In this paper we pres...
Oana Muntean, Laura Diosan, Mihai Oltean
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 11 months ago
Genetically designed heuristics for the bin packing problem
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
Oana Muntean
104
Voted
EVOW
2005
Springer
15 years 10 months ago
Design of Fast Multidimensional Filters Using Genetic Algorithms
A method for designing fast multidimensional filters using genetic algorithms is described. The filter is decomposed into component filters where coefficients can be sparsely sc...
Max Langer, Björn Svensson, Anders Brun, Mats...