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» Function Optimization with Coevolutionary Algorithms
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CEC
2007
IEEE
16 years 29 days 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 11 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 6 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 5 months 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 10 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