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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 12 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
UIST
1994
ACM
15 years 10 months ago
Evolutionary Learning of Graph Layout Constraints from Examples
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Toshiyuki Masui
CODES
2004
IEEE
15 years 10 months ago
Power-aware communication optimization for networks-on-chips with voltage scalable links
Networks-on-Chip (NoC) is emerging as a practical development platform for future systems-on-chip products. We propose an energyefficient static algorithm which optimizes the ener...
Dongkun Shin, Jihong Kim
HIPEAC
2010
Springer
16 years 3 months ago
Performance and Power Aware CMP Thread Allocation Modeling
We address the problem of performance and power-efficient thread allocation in a CMP. To that end, based on analytical model, we introduce a parameterized performance/power metric ...
Yaniv Ben-Itzhak, Israel Cidon, Avinoam Kolodny
AUSAI
2008
Springer
15 years 8 months ago
Clustering with XCS on Complex Structure Dataset
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang