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» Function Optimization with Coevolutionary Algorithms
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CEC
2007
IEEE
15 years 8 months ago
Plateaus can be harder in multi-objective optimization
—In recent years a lot of progress has been made in understanding the behavior of evolutionary computation methods for single- and multi-objective problems. Our aim is to analyze...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann
ASPDAC
1998
ACM
79views Hardware» more  ASPDAC 1998»
15 years 5 months ago
Simultaneous Wire Sizing and Wire Spacing in Post-Layout Performance Optimization
- In this paper, we study the wire sizing and wire spacing problem for post-layout performance optimization under Elmore delay model. Both ground capacitance and coupled capacitanc...
Jiang-An He, Hideaki Kobayashi
JCP
2007
143views more  JCP 2007»
15 years 1 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
PVLDB
2010
140views more  PVLDB 2010»
15 years 1 days ago
Optimal Top-K Query Evaluation for Weighted Business Processes
A Business Process (BP for short) consists of a set of activities that achieve some business goal when combined in a flow. Among all the (maybe infinitely many) possible executi...
Daniel Deutch, Tova Milo, Neoklis Polyzotis, Tom Y...
ICASSP
2011
IEEE
14 years 5 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo