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EMO
2006
Springer
170views Optimization» more  EMO 2006»
15 years 11 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
AAAI
2010
15 years 9 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 11 months ago
A comparative study of differential evolution variants for global optimization
In this paper, we present an empirical comparison of some Differential Evolution variants to solve global optimization problems. The aim is to identify which one of them is more s...
Efrén Mezura-Montes, Jesús Vel&aacut...
ATAL
2003
Springer
16 years 27 days ago
Constructing optimal policies for agents with constrained architectures
Optimal behavior is a very desirable property of autonomous agents and, as such, has received much attention over the years. However, making optimal decisions and executing optima...
Dmitri A. Dolgov, Edmund H. Durfee
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 8 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb