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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 4 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
INFORMATICALT
2006
108views more  INFORMATICALT 2006»
14 years 9 months ago
Experiments with Hybrid Genetic Algorithm for the Grey Pattern Problem
Recently, genetic algorithms (GAs) and their hybrids have achieved great success in solving difficult combinatorial optimization problems. In this paper, the issues related to the ...
Alfonsas Misevicius
CIKM
2008
Springer
14 years 11 months ago
A proposal for chemical information retrieval evaluation
Based on the important progresses made in information retrieval (IR) in terms of theoretical models and evaluations, more and more attention has recently been paid to the research...
Jianhan Zhu, John Tait
CORR
2010
Springer
147views Education» more  CORR 2010»
14 years 9 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
AAAI
2007
14 years 12 months ago
Understanding Performance Tradeoffs in Algorithms for Solving Oversubscribed Scheduling
In recent years, planning and scheduling research has paid increasing attention to problems that involve resource oversubscription, where cumulative demand for resources outstrips...
Laurence A. Kramer, Laura Barbulescu, Stephen F. S...