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GECCO
2009
Springer
166views Optimization» more  GECCO 2009»
15 years 4 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
AIIA
2007
Springer
15 years 3 months ago
A Comparison of Genetic Algorithms for Optimizing Linguistically Informed IR in Question Answering
In this paper we compare four selection strategies in evolutionary optimization of information retrieval (IR) in a question answering setting. The IR index has been augmented by li...
Jörg Tiedemann
CEC
2005
IEEE
14 years 11 months ago
Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma
Axelrod’s original experiments for evolving IPD player strategies involved the use of a basic GA. In this paper we examine how well a simple GA performs against the more recent P...
Timothy Gosling, Nanlin Jin, Edward P. K. Tsang
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
15 years 3 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
ICCBR
2005
Springer
15 years 3 months ago
Combining Case-Based Memory with Genetic Algorithm Search for Competent Game AI
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
Sushil J. Louis, Chris Miles