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 |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
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| Depositing User: | Michael Kampouridis |
| Date Deposited: | 09 Aug 2014 10:42 UTC |
| Last Modified: | 20 May 2025 10:14 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/42182 (The current URI for this page, for reference purposes) |
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