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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
14 years 11 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
ECCV
2006
Springer
15 years 11 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 1 months ago
A unified optimization framework for microelectronics industry
In this paper, an object-oriented unified optimization framework (UOF) for general problem optimization is proposed. Based on evolutionary algorithms, numerical deterministic meth...
Yiming Li, Cheng-Kai Chen, Yen-Yu Cho
POPL
2002
ACM
15 years 10 months ago
Towards automatic construction of staged compilers
Some compilation systems, such as offline partial evaluators and selective dynamic compilation systems, support staged optimizations. A staged optimization is one where a logicall...
Matthai Philipose, Craig Chambers, Susan J. Eggers
GLOBECOM
2006
IEEE
15 years 3 months ago
Deployment Time Performance Optimization of Internet Services
—This paper introduces a novel deployment time optimization technology for Internet services. Using the configuration information collected from the operation environment, the pr...
Sang Jeong Lee, Kang-Won Lee, Kyung Dong Ryu, Jong...