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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 1 months ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...
MP
2010
154views more  MP 2010»
13 years 5 months ago
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
Xinwei Liu, Yaxiang Yuan
ISBI
2002
IEEE
14 years 8 months ago
A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates
We investigate a new, fast and provably convergentMAP reconstruction algorithm for emission tomography. The new algorithm, termed C-OSEM has its origin in the alternating algorith...
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
14 years 1 months ago
Convergence rate for stochastic consensus algorithms with time-varying noise statistics: Asymptotic normality
— This paper studies consensus seeking over noisy networks with time-varying noise statistics. Stochastic approximation type algorithms can ensure consensus in mean square and wi...
Minyi Huang
TEC
2002
103views more  TEC 2002»
13 years 7 months ago
A short convergence proof for a class of ant colony optimization algorithms
In this paper, we prove some convergence properties for a class of ant colony optimization algorithms. In particular, we prove that for any small constant 0 and for a sufficiently ...
Thomas Stützle, Marco Dorigo