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ICTAI
2006
IEEE
14 years 2 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
CP
2004
Springer
14 years 1 months ago
Quality of LP-Based Approximations for Highly Combinatorial Problems
We study the quality of LP-based approximation methods for pure combinatorial problems. We found that the quality of the LPrelaxation is a direct function of the underlying constra...
Lucian Leahu, Carla P. Gomes
EUROSPI
2004
Springer
14 years 1 months ago
Discovering the Relation Between Project Factors and Project Success in Post-mortem Evaluations
Post-mortem project reviews often yield useful lessons learned. These project reviews are mostly recorded in plain text. This makes it difficult to derive useful overall findings ...
Joost J. P. Schalken, Sjaak Brinkkemper, Hans van ...
ICCS
2004
Springer
14 years 1 months ago
Data Driven Design Optimization Methodology Development and Application
The Data Driven Design Optimization Methodology (DDDOM) is a Dynamic Data Driven Application System (DDDAS) developed for engineering design optimization. The DDDOM synergizes expe...
H. Zhao, D. Knight, E. Taskinoglu, V. Jovanovic
SAT
2004
Springer
95views Hardware» more  SAT 2004»
14 years 1 months ago
Local Search for Very Large SAT Problems
The Walksat local search algorithm has previously been extended to handle quantification over variables. This greatly reduces model sizes, but in order to guide greedy moves the a...
Steven David Prestwich, Colin Quirke