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» Evolutionary multiobjective optimization
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PPSN
1998
Springer
15 years 6 months ago
Methods to Evolve Legal Phenotypes
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
Tina Yu, Peter J. Bentley
120
Voted
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 2 months ago
Ultra high frequency financial data
This note is best described as a ‘Research Challenge’, and concerns building an ultra high frequency (UHF) trading system. The emphasis is on addressing the problems posed by ...
Martin Victor Sewell, Wei Yan
SAC
2010
ACM
15 years 8 months ago
Tracking random finite objects using 3D-LIDAR in marine environments
This paper presents a random finite set theoretic formulation for multi-object tracking as perceived by a 3D-LIDAR in a dynamic environment. It is mainly concerned with the joint...
Kwang Wee Lee, Bharath Kalyan, W. Sardha Wijesoma,...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 5 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
FOCI
2007
IEEE
15 years 5 months ago
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample
Abstract-- In this paper, we empirically analyze the convergence behavior of evolutionary algorithms (evolution strategies
Hans-Georg Beyer, Bernhard Sendhoff