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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
14 years 1 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
APIN
2000
120views more  APIN 2000»
13 years 10 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
14 years 3 months ago
Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting
Finding a good wavelet for a particular application and type of input data is a difficult problem. Traditional methods of wavelet deus on abstract properties of the wavelet that ca...
Uli Grasemann, Risto Miikkulainen
ANOR
2004
79views more  ANOR 2004»
13 years 10 months ago
Preference-Based Search and Multi-Criteria Optimization
Many real-world AI problems (e.g. in configuration) are weakly constrained, thus requiring a mechanism for characterizing and finding the preferred solutions. Preferencebased sear...
Ulrich Junker
EUROGP
2004
Springer
108views Optimization» more  EUROGP 2004»
14 years 3 months ago
Genetic Programming for Natural Language Parsing
Parsing and Tagging are very important tasks in Natural Language Processing. Parsing amounts to searching the correct combination of grammatical rules among those compatible with a...
Lourdes Araujo