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NC
2002
14 years 11 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 5 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 1 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»
15 years 6 months 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»
14 years 6 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