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ALIFE
2007
14 years 9 months ago
Evolving Virtual Creatures and Catapults
We present a system that can evolve the morphology and the controller of virtual walking and block-throwing creatures (catapults) using a genetic algorithm. The system is based on ...
Nicolas Chaumont, Richard Egli, Christoph Adami
GECCO
2007
Springer
283views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolving Lucene search queries for text classification
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...
Laurence Hirsch, Robin Hirsch, Masoud Saeedi
ICTAI
2009
IEEE
14 years 7 months ago
Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...
Paskorn Champrasert, Junichi Suzuki, Tetsuo Otani
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 2 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
CEC
2005
IEEE
15 years 3 months ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff