116 search results - page 7 / 24 » Technical market indicators optimization using evolutionary ... |
138
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TEC
2008
15 years 2 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...
106
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EMO
2005
Springer
15 years 8 months 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...
159
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GECCO
2006
Springer
15 years 6 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...
83
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CEC
2007
IEEE
15 years 9 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...
136
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EMO
2001
Springer
15 years 7 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...