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NC
2002
15 years 6 months ago
Parallel evolutionary training algorithms for "hardware-friendly" neural networks
In this paper, Parallel Evolutionary Algorithms for integer weight neural network training are presented. To this end, each processor is assigned a subpopulation of potential solut...
Vassilis P. Plagianakos, Michael N. Vrahatis
KES
2005
Springer
15 years 11 months ago
Dafo, a Multi-agent Framework for Decomposable Functions Optimization
This paper introduces Dafo, a new multi-agent framework for evolutionary optimization relying on a competitive coevolutionary genetic algorithm, aka LCGA (Loosely Coupled Genetic A...
Grégoire Danoy, Pascal Bouvry, Olivier Bois...
SE
2010
15 years 7 months ago
Multi-Level Test Models for Embedded Systems
Abstract: Test methodologies for large embedded systems fail to reflect the test process as a whole. Instead, the test process is divided into independent test levels feaifferences...
Abel Marrero Pérez, Stefan Kaiser
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
16 years 14 days ago
Rigorous analyses of simple diversity mechanisms
It is widely assumed and observed in experiments that the use of diversity mechanisms in evolutionary algorithms may have a great impact on its running time. Up to now there is no...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann
TEC
2010
121views more  TEC 2010»
15 years 1 months ago
Brain-Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker
The centrality of the decision maker (DM) is widely recognized in the multiple criteria decision-making community. This translates into emphasis on seamless human
Roberto Battiti, Andrea Passerini