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AUSAI
2001
Springer
14 years 13 days ago
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
Hussein A. Abbass
AES
2006
Springer
97views Cryptology» more  AES 2006»
13 years 8 months ago
ADSS: An approach to determining semantic similarity
Determining the semantic similarity is an important issue in the development of semantic search technology. In this paper, we propose an approach to determining the semantic simil...
Lixin Han, Linping Sun, Guihai Chen, Li Xie
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 2 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
EMO
2005
Springer
123views Optimization» more  EMO 2005»
14 years 2 months ago
Initial Population Construction for Convergence Improvement of MOEAs
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Christian Haubelt, Jürgen Gamenik, Jürge...