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GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
14 years 21 days ago
Redundant genes and the evolution of robustness
In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in f...
Russell Thomason, Terence Soule
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 10 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
INFOCOM
2007
IEEE
14 years 3 months ago
The Cache Inference Problem and its Application to Content and Request Routing
— In many networked applications, independent caching agents cooperate by servicing each other’s miss streams, without revealing the operational details of the caching mechanis...
Nikolaos Laoutaris, Georgios Zervas, Azer Bestavro...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 2 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
TWC
2008
145views more  TWC 2008»
13 years 9 months ago
Robust Optimization Models for Energy-Limited Wireless Sensor Networks under Distance Uncertainty
The distance between nodes in a wireless sensor network (WSN) is an important factor in the performance that can be extracted from the network for many tasks. However, the distanc...
Wei Ye, Fernando Ordóñez