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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 9 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
VRST
1997
ACM
14 years 20 days ago
Surface deformation using the sensor glove
Intuitive 3D surface control and deformation are crucial to CAD/CAM. To do this in a virtual environment, however, the technique must be very efficient. A common method for shape ...
Lizhuang Ma, Rynson W. H. Lau, Jieqing Feng, Qunsh...
CORR
2004
Springer
142views Education» more  CORR 2004»
13 years 8 months ago
Modeling and Validating Hybrid Systems Using VDM and Mathematica
Hybrid systems are characterized by the hybrid evolution of their state: A part of the state changes discretely, the other part changes continuously over time. Typically, modern c...
Bernhard K. Aichernig, Reinhold Kainhofer
ISORC
2005
IEEE
14 years 2 months ago
Self-Tuning Planned Actions Time to Make Real-Time SOAP Real
This paper proposes a new method for programming and controlling distributed tasks. Applications declare behavior patterns that are used to automatically predict and reserve resou...
Johannes Helander, Stefan B. Sigurdsson
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow