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» On Using Populations of Sets in Multiobjective Optimization
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BMCBI
2011
14 years 6 months ago
SNPPicker: High quality tag SNP selection across multiple populations
Background: Linkage Disequilibrium (LD) bin-tagging algorithms identify a reduced set of tag SNPs that can capture the genetic variation in a population without genotyping every s...
Hugues Sicotte, David N. Rider, Gregory A. Poland,...
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
15 years 5 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 3 months ago
The Brueckner network: an immobile sorting swarm
In many industrial applications, the dynamic control of queuing and routing presents difficult challenges. We describe a novel ant colony control system for a multiobjective sorti...
William A. Tozier, Michael R. Chesher, Tejinderpal...
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 5 months ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
GECCO
2004
Springer
15 years 5 months ago
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
Gerulf K. M. Pedersen, David E. Goldberg