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KDD
2000
ACM
129views Data Mining» more  KDD 2000»
13 years 9 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
13 years 10 months ago
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through t...
Andrea Tettamanzi, Luca Sammartino, Mikhail Simono...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 9 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
GECCO
2010
Springer
220views Optimization» more  GECCO 2010»
13 years 8 months ago
Interday foreign exchange trading using linear genetic programming
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
Garnett Carl Wilson, Wolfgang Banzhaf
GECCO
2003
Springer
13 years 10 months ago
Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
Abstract. In this paper, we propose a new constraint-handling technique for evolutionary algorithms which is based on multiobjective optimization concepts. The approach uses Pareto...
Arturo Hernández Aguirre, Salvador Botello ...