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» Initial Population for Genetic Algorithms: A Metric Approach
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 2 months ago
Takeover times on scale-free topologies
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
Joshua L. Payne, Margaret J. Eppstein
CEC
2007
IEEE
14 years 19 days ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 1 months ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
CSDA
2008
150views more  CSDA 2008»
13 years 8 months ago
Unimodal regression via prefix isotonic regression
This paper gives algorithms for determining real-valued univariate unimodal regressions, that is, for determining the optimal regression which is increasing and then decreasing. S...
Quentin F. Stout
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 8 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...