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IJCAI
2007
15 years 8 months ago
Backtracking Procedures for Hypertree, HyperSpread and Connected Hypertree Decomposition of CSPs
Hypertree decomposition has been shown to be the most general CSP decomposition method. However, so far the exact methods are not able to find optimal hypertree decompositions of...
Sathiamoorthy Subbarayan, Henrik Reif Andersen
IMCSIT
2010
15 years 4 months ago
ACO with semi-random start applied on MKP
Ant Colony Optimization (ACO) is a stochastic search method that mimics the social behavior of real ants colonies, which manage to establish the shortest route to feeding sources a...
Stefka Fidanova, Pencho Marinov, Krassimir T. Atan...
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
16 years 8 days ago
Solving geometric TSP with ants
This paper presents an ant-based approach for solving the Traveling Salesman Problem (TSP). Novel concepts of this algorithm that distinguish it from the other heuristics are the ...
Thang Nguyen Bui, Mufit Colpan
228
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LCTRTS
2001
Springer
15 years 11 months ago
A Dynamic Programming Approach to Optimal Integrated Code Generation
Phase-decoupled methods for code generation are the state of the art in compilers for standard processors but generally produce code of poor quality for irregular target architect...
Christoph W. Keßler, Andrzej Bednarski
IJCNN
2000
IEEE
15 years 11 months ago
Incremental Active Learning with Bias Reduction
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
Masashi Sugiyama, Hidemitsu Ogawa