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GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
13 years 10 months ago
Shared memory genetic algorithms in a multi-agent context
In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. O...
Dana Vrajitoru
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer
EMO
2005
Springer
194views Optimization» more  EMO 2005»
14 years 3 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
DAC
2008
ACM
14 years 11 months ago
Concurrent topology and routing optimization in automotive network integration
In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based ...
Bardo Lang, Christian Haubelt, Jürgen Teich, ...
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 10 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...