116 search results - page 7 / 24 » Technical market indicators optimization using evolutionary ... |
TEC
2008
13 years 7 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
EMO
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
EMO
2001
Springer
13 years 12 months ago
2001
Springer
This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...