424 search results - page 67 / 85 » Improving Evolutionary Algorithms with Scouting |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
GECCO
2008
Springer
13 years 9 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
2007
Springer
14 years 2 months ago
2007
Springer
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Historical linguistics aims at inferring the most likely language phylogenetic tree starting from information concerning the evolutionary relatedness of languages. The available i...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered...