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GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 3 months ago
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Elena Popovici, Kenneth A. De Jong
77
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EUC
2004
Springer
15 years 1 months ago
Efficient Scheduling for Design Exploration with Imprecise Latency and Register Constraints
In archiectural synthesis, scheduling and resource allocation are important steps. During the early stage of the design, imprecise information is unavoidable. Under the imprecise ...
Chantana Chantrapornchai, Wanlop Surakumpolthorn, ...
ALIFE
2006
14 years 9 months ago
Understanding Linguistic Evolution by Visualizing the Emergence of Topographic Mappings
We show how cultural selection for learnability during the process of linguistic evolution can be visualized using a simple iterated learning model. Computational models of linguis...
Henry Brighton, Simon Kirby
GI
1998
Springer
15 years 1 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
GECCO
2010
Springer
233views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCs
The Spidergon interconnection network has become popular recently in multiprocessor systems on chips. To the best of our knowledge, algorithms for collective communications (CC) h...
Jirí Jaros, Vaclav Dvorak