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ICANN
2007
Springer
16 years 28 days ago
Evolutionary Multi-objective Optimization of Spiking Neural Networks
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
15 years 12 months ago
Evolutionary Testing of Flag Conditions
Evolutionary Testing (ET) has been shown to be very successful in testing real world applications [16]. However, it has been pointed out [11], that further research is necessary if...
André Baresel, Harmen Sthamer
COR
2008
164views more  COR 2008»
15 years 6 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
197
Voted
IJHIS
2006
94views more  IJHIS 2006»
15 years 6 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
AE
2007
Springer
16 years 29 days ago
Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms
We are interested in the role of restricted mating schemes in the context of evolutionary multi-objective algorithms. In this paper, we propose an adaptive assortative mating schem...
Khoi Le, Dario Landa Silva