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119
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CEC
2005
IEEE
15 years 5 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...
148
Voted
COR
2010
177views more  COR 2010»
15 years 3 months ago
Hybridization of very large neighborhood search for ready-mixed concrete delivery problems
Companies in the concrete industry are facing the following scheduling problem on a daily basis: concrete produced at several plants has to be delivered at customers' constru...
Verena Schmid, Karl F. Doerner, Richard F. Hartl, ...
COR
2007
80views more  COR 2007»
15 years 3 months ago
A MAX-MIN ant system for unconstrained multi-level lot-sizing problems
In this paper we present an ant-based algorithm for solving unconstrained multi-level lot-sizing problems called ant system for multi-level lot-sizing algorithm (ASMLLS). We apply...
Rapeepan Pitakaso, Christian Almeder, Karl F. Doer...
152
Voted
JMIV
2008
106views more  JMIV 2008»
15 years 3 months ago
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration
Vector fields arise in many problems of computer vision, particularly in non-rigid registration. In this paper, we develop coupled partial differential equations (PDEs) to estimat...
Gozde B. Unal, Greg G. Slabaugh
145
Voted
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 4 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon