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JCSS
2008
138views more  JCSS 2008»
15 years 2 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
126
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JACM
2007
115views more  JACM 2007»
15 years 2 months ago
Optimal pants decompositions and shortest homotopic cycles on an orientable surface
We consider the problem of finding a shortest cycle (freely) homotopic to a given simple cycle on a compact, orientable surface. For this purpose, we use a pants decomposition of...
Éric Colin de Verdière, Francis Laza...
103
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COMPSAC
2004
IEEE
15 years 6 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
123
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GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
15 years 6 months ago
TFBS identification by position- and consensus-led genetic algorithm with local filtering
Identification of Transcription Factor Binding Site (TFBS) motifs in multiple DNA upstream sequences is important in understanding the mechanism of gene regulation. This identific...
Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee
SIGADA
2004
Springer
15 years 8 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville