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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 1 months ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...
BIOINFORMATICS
2005
114views more  BIOINFORMATICS 2005»
14 years 9 months ago
Predicting protein localization in budding Yeast
Motivation: Most of the existing methods in predicting protein subcellular location were used to deal with the cases limited within the scope from two to five localizations, and o...
Kuo-Chen Chou, Yu-Dong Cai
CDES
2006
107views Hardware» more  CDES 2006»
14 years 11 months ago
An Algorithm for Yield Improvement via Local Positioning and Resizing
The ability to improve the yield of integrated circuits through layout modification has been recognized and several techniques for yield enhanced routing and compaction have been ...
Vazgen Karapetyan
MOC
2002
76views more  MOC 2002»
14 years 9 months ago
Localization effects and measure source terms in numerical schemes for balance laws
Abstract. This paper investigates the behavior of numerical schemes for nonlinear conservation laws with source terms. We concentrate on two significant examples: relaxation approx...
Laurent Gosse
AAAI
2000
14 years 11 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar