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GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 11 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 1 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
14 years 1 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
BIOSYSTEMS
2007
52views more  BIOSYSTEMS 2007»
13 years 10 months ago
The genotypic complexity of evolved fault-tolerant and noise-robust circuits
Noise and component failure is an increasingly difficult problem in modern electronic design. Bioinspired techniques is one approach that is applied in an effort to solve such is...
Morten Hartmann, Pauline C. Haddow, Per Kristian L...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 7 months ago
A multi-objective approach to data sharing with privacy constraints and preference based objectives
Public data sharing is utilized in a number of businesses to facilitate the exchange of information. Privacy constraints are usually enforced to prevent unwanted inference of info...
Rinku Dewri, Darrell Whitley, Indrajit Ray, Indrak...