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GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
15 years 10 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
15 years 10 months ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
SIAMJO
2008
109views more  SIAMJO 2008»
15 years 4 months ago
A Regularized Smoothing Newton Method for Symmetric Cone Complementarity Problems
This paper extends the regularized smoothing Newton method in vector optimization to symmetric cone optimization, which provide a unified framework for dealing with the nonlinear ...
Lingchen Kong, Jie Sun, Naihua Xiu
VECPAR
2004
Springer
15 years 9 months ago
Domain Decomposition Methods for PDE Constrained Optimization Problems
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
ECAI
2010
Springer
15 years 5 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes