1149 search results - page 4 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
GECCO
2005
Springer
14 years 27 days ago
2005
Springer
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
CP
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
CSB
2004
IEEE
13 years 11 months ago
2004
IEEE
Current methods for interpreting oligonucleotidebased SNP-detection microarrays, SNP chips, are based on statistics and require extensive parameter tuning as well as extremely hig...
CSE
2009
IEEE
14 years 2 months ago
2009
IEEE
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...
ICGA
2008
13 years 7 months ago
2008
Recently, Monte-Carlo Tree Search (MCTS) has become a popular approach for intelligent play in games. Amongst others, it is successfully used in most state-of-the-art Go programs....