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GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
14 years 2 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
IWINAC
2007
Springer
14 years 2 months ago
Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
Michela Ponticorvo, Orazio Miglino
TEC
2002
161views more  TEC 2002»
13 years 8 months ago
A fast and elitist multiobjective genetic algorithm: NSGA-II
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( 3) computational complexity (where is the number ...
Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Mey...
RECOMB
2007
Springer
14 years 9 months ago
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data
Genetic instability represents an important type of biological markers for cancer and many other diseases. Array Comparative Genome Hybridization (aCGH) is a high-throughput cytoge...
Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
BMCBI
2011
13 years 6 days ago
ShoRAH: estimating the genetic diversity of a mixed sample from next-generation sequencing data
Background: With next-generation sequencing technologies, experiments that were considered prohibitive only a few years ago are now possible. However, while these technologies hav...
Osvaldo Zagordi, Arnab Bhattacharya, Nicholas Erik...