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» Adaptive genetic programming for option pricing
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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
13 years 10 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
13 years 6 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
13 years 11 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
EPS
1997
Springer
13 years 8 months ago
Modeling Speculators with Genetic Programming
In spirit of the earlier works done by Arthur (1992) and Palmer et al. (1993), this paper models speculators with genetic programming (GP) in a production economy (Muthian Economy)...
Shu-Heng Chen, Chia-Hsuan Yeh
CORR
2004
Springer
208views Education» more  CORR 2004»
13 years 4 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham