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» SNPs Problems, Complexity, and Algorithms
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113
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DAGSTUHL
2007
15 years 5 months ago
Approximating Solution Structure
Approximations can aim at having close to optimal value or, alternatively, they can aim at structurally resembling an optimal solution. Whereas value-approximation has been extensi...
Iris van Rooij, Matthew Hamilton, Moritz Müll...
149
Voted
SOFSEM
2000
Springer
15 years 7 months ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt
154
Voted
STACS
2012
Springer
13 years 11 months ago
On Computing Pareto Stable Assignments
Assignment between two parties in a two-sided matching market has been one of the central questions studied in economics, due to its extensive applications, focusing on different...
Ning Chen
148
Voted
MDM
2009
Springer
123views Communications» more  MDM 2009»
15 years 10 months ago
Operator Placement for Snapshot Multi-predicate Queries in Wireless Sensor Networks
— This work aims at minimize the cost of answering snapshot multi-predicate queries in high-communication-cost networks. High-communication-cost (HCC) networks is a family of net...
Georgios Chatzimilioudis, Huseyin Hakkoymaz, Nikos...
143
Voted
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 8 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...