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An initial investigation of choice function hyper-heuristics for the problem of financial forecasting

Kampouridis, Michael (2013) An initial investigation of choice function hyper-heuristics for the problem of financial forecasting. In: Evolutionary Computation (CEC), 2013 IEEE Congress on. (doi:10.1109/cec.2013.6557857) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:42182)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1109/cec.2013.6557857
Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/cec.2013.6557857
Uncontrolled keywords: continuous improvement;financial management;forecasting theory;genetic algorithms;search problems;EDDIE;choice function approach;choice function hyper-heuristics;computational finance;continuous development;dynamic selection;financial forecasting problem;genetic programming financial forecasting tool;low-level heuristics;score based technique;search process;Equations;Forecasting;Heuristic algorithms;Mathematical model;Radio frequency;Sociology;Statistics
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Michael Kampouridis
Date Deposited: 09 Aug 2014 10:42 UTC
Last Modified: 09 Mar 2023 11:33 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/42182 (The current URI for this page, for reference purposes)

University of Kent Author Information

Kampouridis, Michael.

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