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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
IJRR
2010
130views more  IJRR 2010»
13 years 6 months ago
CAD Model-based Tracking and 3D Visual-based Control for MEMS Microassembly
This paper investigates sequential robotic microassembly for the construction of 3D micro-electro-mechanical systems (MEMS) structures using a 3D visual servoing approach. The pre...
Brahim Tamadazte, Éric Marchand, Sounkalo D...
CEC
2011
IEEE
12 years 7 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
HPDC
2005
IEEE
14 years 1 months ago
A new metric for robustness with application to job scheduling
Scheduling strategies for parallel and distributed computing have mostly been oriented toward performance, while striving to achieve some notion of fairness. With the increase in ...
Darin England, Jon B. Weissman, Jayashree Sadagopa...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 11 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter