Conceptual Developments in Genetic Programming for Time Series Forecasting

被引：0
|
作者：
Martinez, C. A. [1 ]
Velasquez, J. D. [2 ]
机构：
[1] Univ Nacl Colombia, Medellin, Colombia
[2] Univ Nacl Colombia, Fac Minas, Comp & Decis Sci Dept, Medellin, Colombia
来源：
IEEE LATIN AMERICA TRANSACTIONS | 2015年 / 13卷 / 08期
关键词：
Nonlinear models; Genetic programming; Forecasting; Neural Networks; Genetic Algorithms; Time series; DYNAMIC SIZE POPULATIONS; GA-P; REGRESSION; ALGORITHM; OPERATORS; CROSSOVER; GP;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Objective: The aim of this paper is to analyze the main research areas in Genetic Programming (GP). Method: We used the systematic literature review method employing an automatic search with manual refining of papers published on GP between 1992 to 2012. Results: Just 63 studies meet all the requirements of the inclusion criteria. Conclusion: Although studies relating to the application of genetic programming in the forecast of time series were frequently presented, we find that the studies proposing changes in the original algorithm of GP with a theoretical support and a systematic procedure for the construction of model were scarce in the time 1992-2012.
引用
收藏
页码：2728 / 2733
页数：6
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