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JCSS
2008
138views more  JCSS 2008»
13 years 8 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...
SODA
2012
ACM
177views Algorithms» more  SODA 2012»
11 years 11 months ago
Stochastic coalescence in logarithmic time
The following distributed coalescence protocol was introduced by Dahlia Malkhi in 2006 motivated by applications in social networking. Initially there are n agents wishing to coal...
Po-Shen Loh, Eyal Lubetzky
PPSN
2000
Springer
14 years 8 days ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
CEC
2008
IEEE
14 years 3 months ago
DEACO: Hybrid Ant Colony Optimization with Differential Evolution
—Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the for...
Xiangyin Zhang, Haibin Duan, Jiqiang Jin
PE
2006
Springer
145views Optimization» more  PE 2006»
13 years 8 months ago
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Approximating general distributions by phase-type (PH) distributions is a popular technique in stochastic analysis, since the Markovian property of PH distributions often allows a...
Takayuki Osogami, Mor Harchol-Balter