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125
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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 5 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 8 months ago
Geometric crossovers for real-code representation
Geometric crossover is a representation-independent generalization of the class of traditional mask-based crossover for binary strings. It is based on the distance of the search s...
Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio, Byun...
112
Voted
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 5 months ago
Evolutionary design of single-mode microstructured polymer optical fibres using an artificial embryogeny representation
Polymer microstructured optical fibres are a relatively recent development in optical fibre technology, supporting a wide variety of microstructure fibre geometries, when compared...
Steven Manos, Maryanne Large, Leon Poladian
IPPS
2003
IEEE
15 years 7 months ago
Evolutionary Fault Recovery in a Virtex FPGA Using a Representation that Incorporates Routing
Most evolutionary approaches to fault recovery in FPGAs focus on evolving alternative logic configurations as opposed to evolving the intra-cell routing. Since the majority of tra...
Jason D. Lohn, Gregory V. Larchev, Ronald F. DeMar...
EGICE
2006
15 years 5 months ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...