6943 search results - page 5 / 1389 » Representations for evolutionary algorithms |
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
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...
EVOW
2004
Springer
14 years 23 days ago
2004
Springer
Recently, an approach has been presented to minimize Disjoint Sumof-Products (DSOPs) based on Binary Decision Diagrams (BDDs). Due to the symbolic representation of cubes for larg...
CEC
2008
IEEE
14 years 1 months ago
2008
IEEE
—Representation techniques are important issues when designing successful evolutionary algorithms. Within this field the use of neutrality plays an important role. We examine th...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Polymer microstructured optical fibres are a relatively recent development in optical fibre technology, supporting a wide variety of microstructure fibre geometries, when compared...
TEC
2002
13 years 7 months ago
2002
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...