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CISIS
2008
IEEE
15 years 4 months ago
Evolving Turbo Code Interleavers by Genetic Algorithms
Since the appearance in 1993, first approaching the Shannon limit, the Turbo Codes gave a new direction for the channel encoding field, especially since they were adopted for mult...
Ajith Abraham, Pavel Krömer, Václav Sn...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 7 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 3 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
14 years 11 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
EUROGP
2005
Springer
104views Optimization» more  EUROGP 2005»
15 years 3 months ago
mGGA: The meta-Grammar Genetic Algorithm
A novel Grammatical Genetic Algorithm, the meta-Grammar Genetic Algorithm (mGGA) is presented. The mGGA borrows a grammatical representation and the ideas of modularity and reuse f...
Michael O'Neill, Anthony Brabazon