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106
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ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
104
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KDD
2007
ACM
16 years 1 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
95
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
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...
79
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ICTAI
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, we develop heuristics for finding good starting points when solving large-scale nonlinear constrained optimization problems (COPs). We focus on nonlinear programmi...
CAV
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. We propose a novel, sound, and complete Simplex-based algorithm for solving linear inequalities over integers. Our algorithm, which can be viewed as a semantic generaliza...