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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 9 days ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
ICARIS
2007
Springer
15 years 5 months ago
Immune and Evolutionary Approaches to Software Mutation Testing
We present an Immune Inspired Algorithm, based on CLONALG, for software test data evolution. Generated tests are evaluated using the mutation testing adequacy criteria, and used to...
Peter May, Jon Timmis, Keith Mander
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 2 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
CEC
2009
IEEE
15 years 6 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao
COR
2008
107views more  COR 2008»
14 years 11 months ago
Evolutionary functional testing
Evolutionary Testing is a promising approach for automating the testing of software-based systems. A number of papers have been published in the last years which have successfully...
Oliver Bühler, Joachim Wegener