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AMC
2005
138views more  AMC 2005»
15 years 6 months ago
Optimal centers in branch-and-prune algorithms for univariate global optimization
We present an interval branch-and-prune algorithm for computing verified enclosures for the global minimum and all global minimizers of univariate functions subject to bound const...
D. G. Sotiropoulos, T. N. Grapsa
FOCS
2004
IEEE
15 years 10 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
CCS
2007
ACM
16 years 26 days ago
Optimal security hardening using multi-objective optimization on attack tree models of networks
Researchers have previously looked into the problem of determining if a given set of security hardening measures can effectively make a networked system secure. Many of them also...
Rinku Dewri, Nayot Poolsappasit, Indrajit Ray, Dar...
CEC
2010
IEEE
15 years 7 months ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang
CEC
2009
IEEE
16 years 1 months ago
An adaptive learning particle swarm optimizer for function optimization
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
Changhe Li, Shengxiang Yang