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» On the Complexity of Exclusion Algorithms for Optimization
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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 9 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
DATE
2004
IEEE
154views Hardware» more  DATE 2004»
15 years 9 months ago
Fast Exploration of Parameterized Bus Architecture for Communication-Centric SoC Design
For successful SoC design, efficient and scalable communication architecture is crucial. Some bus interconnects now provide configurable structures to meet this requirement of an ...
Chulho Shin, Young-Taek Kim, Eui-Young Chung, Kyu-...
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
15 years 6 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
AAMAS
2010
Springer
15 years 5 months ago
Multi-goal economic search using dynamic search structures
This paper investigates cooperative search strategies for agents engaged in costly search in a complex environment. Searching cooperatively, several search goals can be satisfied w...
David Sarne, Efrat Manisterski, Sarit Kraus
162
Voted
ML
2008
ACM
15 years 5 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer