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GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 7 months ago
A stigmergy-based algorithm for black-box optimization: noisy function testbed
In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The perfor...
Peter Korosec, Jurij Silc
AAAI
2011
14 years 3 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
EVOW
2011
Springer
14 years 6 months ago
Local Search for Mixed-Integer Nonlinear Optimization: A Methodology and an Application
Abstract. A methodology is presented for tackling mixed-integer nonlinear optimization problems by local search, in particular large-scale real-life problems. This methodology is i...
Frédéric Gardi, Karim Nouioua
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 6 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...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 4 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