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» Evolving heuristics with genetic programming
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EUROGP
2007
Springer
129views Optimization» more  EUROGP 2007»
14 years 2 months ago
Genetic Programming Heuristics for Multiple Machine Scheduling
In this paper we present a method for creating scheduling heuristics for parallel proportional machine scheduling environment and arbitrary performance criteria. Genetic programmin...
Domagoj Jakobovic, Leonardo Jelenkovic, Leo Budin
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
14 years 2 months ago
Program evolvability under environmental variations and neutrality
Biological organisms employ various mechanisms to cope with the dynamic environments they live in. One recent research reported that depending on the rates of environmental variati...
Tina Yu
GECCO
2009
Springer
166views Optimization» more  GECCO 2009»
14 years 3 months ago
Genetic programming in the wild: evolving unrestricted bytecode
We describe a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. B...
Michael Orlov, Moshe Sipper
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 19 days ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 13 days ago
On evolving buffer overflow attacks using genetic programming
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
Hilmi Günes Kayacik, Malcolm I. Heywood, A. N...