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1. A representation of investor learning behavior through cellular genetic algorithms

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Open Access

Author:: Peredo Centellas, Alvaro Ramiro
Title:: A representation of investor learning behavior through cellular genetic algorithms
Area of Honors:: Finance
Keywords:: Genetic Algorithm
GA
Learning Behavior
Finance
Mathematics
Programming
Python
Evolutionary Algorithm
Cellular
Volatility
Technical Analysis
INX
S&P500
Investor
Population
Mutation Rate
Crossover Rate
Natural Selection
Evolution
Genes
File:: Download A_Representation_of_Investor_Learning_Behavior_Through_Cellular_Genetic_Algorithms_Peredo_Alvaro.pdf
Thesis Supervisors:: Jingzhi Huang, Thesis Supervisor
Dr. Brian Spangler Davis, Thesis Honors Advisor