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GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 7 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 7 months ago
Agent-based support for interactive search in conceptual software engineering design
While recent attempts to search a conceptual software engineering design search space with multi-objective evolutionary algorithms have yielded promising results, the practical ap...
Christopher L. Simons, Ian C. Parmee
GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
15 years 7 months ago
The impact of population size on code growth in GP: analysis and empirical validation
The crossover bias theory for bloat [18] is a recent result which predicts that bloat is caused by the sampling of short, unfit programs. This theory is clear and simple, but it ...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 7 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 7 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
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