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» Heuristic Search for Large Problems With Real Costs
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ICDE
2010
IEEE
248views Database» more  ICDE 2010»
15 years 10 months ago
Similarity Search on Supergraph Containment
A supergraph containment search is to retrieve the data graphs contained by a query graph. In this paper, we study the problem of efficiently retrieving all data graphs approximate...
Haichuan Shang, Ke Zhu, Xuemin Lin, Ying Zhang, Ry...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary search for optimal combinations of markers in clothing manufacturing
Optimizing combinations of placements of parts, known as markers, is an important preparatory step in order-based industrial production of clothes. Given a work order in the form ...
Bogdan Filipic, Iztok Fister, Marjan Mernik
IS
2007
14 years 10 months ago
Mining association rules in very large clustered domains
Emerging applications introduce the requirement for novel association-rule mining algorithms that will be scalable not only with respect to the number of records (number of rows) ...
Alexandros Nanopoulos, Apostolos N. Papadopoulos, ...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
14 years 11 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
15 years 4 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini