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STTT
2008
162views more  STTT 2008»
15 years 1 months ago
Coping with large design spaces: design problem solving in fluidic engineering
Abstract This paper is about tool support for knowledgeintensive engineering tasks. In particular, it introduces software technology to assist the design of complex technical syste...
Benno Stein
CEC
2005
IEEE
15 years 3 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 7 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
15 years 5 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
GECCO
2005
Springer
115views Optimization» more  GECCO 2005»
15 years 7 months ago
Search-based improvement of subsystem decompositions
The subsystem decomposition of a software system degrades gradually during its lifetime and therefore it gets harder and harder to maintain. As a result this decomposition needs t...
Olaf Seng, Markus Bauer, Matthias Biehl, Gert Pach...