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» An optimal randomized algorithm for maximum Tukey depth
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GECCO
2009
Springer
115views Optimization» more  GECCO 2009»
14 years 5 days ago
Benchmarking the pure random search on the BBOB-2009 testbed
We benchmark the pure random search algorithm on the BBOB 2009 noise-free testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space di...
Anne Auger, Raymond Ros
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
14 years 5 days ago
Benchmarking the pure random search on the BBOB-2009 noisy testbed
We benchmark the Pure-Random-Search algorithm on the BBOB 2009 noisy testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space dimensi...
Anne Auger, Raymond Ros
SODA
2003
ACM
125views Algorithms» more  SODA 2003»
13 years 9 months ago
Random MAX SAT, random MAX CUT, and their phase transitions
With random inputs, certain decision problems undergo a “phase transition”. We prove similar behavior in an optimization context. Given a conjunctive normal form (CNF) formula...
Don Coppersmith, David Gamarnik, Mohammad Taghi Ha...
ESA
2008
Springer
136views Algorithms» more  ESA 2008»
13 years 9 months ago
Oblivious Randomized Direct Search for Real-Parameter Optimization
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
Jens Jägersküpper
FOCS
2009
IEEE
14 years 2 months ago
Instance-Optimal Geometric Algorithms
We prove the existence of an algorithm A for computing 2-d or 3-d convex hulls that is optimal for every point set in the following sense: for every set S of n points and for ever...
Peyman Afshani, Jérémy Barbay, Timot...