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GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Coevolution can in principle provide progress for problems where no accurate evaluation function is available. An important open question however is how coevolution can be set up s...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Genetic algorithms have been a standard technique for engineers optimising water distribution networks for some time. However in recent years there has been an increasing...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...