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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
15 years 10 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
KES
2008
Springer
14 years 10 months ago
Knowledge-based genetic algorithm for university course timetabling problems
This paper discusses a new solution to university course timetabling problems. The problems that belong to the NP-hard class are very difficult to solve using conventional optimiza...
Hitoshi Kanoh, Yuusuke Sakamoto
CP
2005
Springer
15 years 3 months ago
Solving Large-Scale Nonlinear Programming Problems by Constraint Partitioning
Abstract. In this paper, we present a constraint-partitioning approach for finding local optimal solutions of large-scale mixed-integer nonlinear programming problems (MINLPs). Ba...
Benjamin W. Wah, Yixin Chen
EWC
2010
91views more  EWC 2010»
14 years 8 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
LSSC
2005
Springer
15 years 3 months ago
Ant Algorithm for Grid Scheduling Problem
Abstract. Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geog...
Stefka Fidanova, Mariya K. Durchova