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» Selection of Optimal Rule Refinements
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PPSN
1998
Springer
13 years 12 months ago
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
Marco Laumanns, Günter Rudolph, Hans-Paul Sch...
VLSID
1999
IEEE
104views VLSI» more  VLSID 1999»
13 years 12 months ago
Interconnect Optimization Strategies for High-Performance VLSI Designs
Interconnect tuning and repeater insertion are necessary to optimize interconnectdelay, signalperformanceandintegrity, andinterconnectmanufacturability and reliability. Repeater i...
Andrew B. Kahng, Sudhakar Muddu, Egino Sarto
DCC
1998
IEEE
13 years 12 months ago
A Locally Optimal Design Algorithm for Block-Based Multi-Hypothesis Motion-Compensated Prediction
Multi-hypothesis motion-compensated prediction extends traditional motion-compensated prediction used in video coding schemes. Known algorithms for block-based multi-hypothesis mo...
Markus Flierl, Thomas Wiegand, Bernd Girod
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
AIED
2007
Springer
13 years 11 months ago
Optimizing Student Models for Causality
Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutor...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...