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GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Deceptive problems have always been considered difficult for Genetic Algorithms. To cope with this characteristic, the literature has proposed the use of Parallel Genetic Algorith...