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» Dynamic populations in genetic algorithms
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112
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 4 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
90
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CEC
2005
IEEE
15 years 2 months ago
Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences
Abstract- The main purpose of this work is to measure the effect of bargaining players’ information completeness on agreements in evolutionary environments. We apply Co-evolution...
Nanlin Jin
95
Voted
BMCBI
2006
135views more  BMCBI 2006»
15 years 18 days ago
iHAP - integrated haplotype analysis pipeline for characterizing the haplotype structure of genes
Background: The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disea...
Chun Meng Song, Boon Huat Yeo, Erwin Tantoso, Yuch...
89
Voted
ICSM
2003
IEEE
15 years 5 months ago
Library Miniaturization Using Static and Dynamic Information
Moving to smaller libraries can be considered as a relevant task when porting software systems to limited-resource devices (e.g., hand-helds). Library miniaturization will be part...
Giuliano Antoniol, Massimiliano Di Penta
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 6 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li