Genetic and evolutionary algorithms for time series forecasting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2070, Issue , 2001, Pages 393-402

  Cortez, Paulo ^a   Rocha, Miguel ^a   Neves, José ^a  

^a UNIVERSITY OF MINHO   (Portugal)

Author keywords

ARMA models; Genetic and evolutionary algorithms; Time series analysis; Time series fore casting

Indexed keywords

EXPERT SYSTEMS; FORECASTING; GENETIC ALGORITHMS; INTELLIGENT SYSTEMS; MACHINE LEARNING; TIME SERIES;

ARMA MODEL; DIMENSIONALITY REDUCTION; EVOLUTIONARY APPROACH; FORECASTING METHODS; OPERATIONAL RESEARCH; STATISTICAL MEASURES; STRATEGIC ADVANTAGES; TIME SERIES FORECASTING;

TIME SERIES ANALYSIS;

EID: 84947598152     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45517-5_44     Document Type: Conference Paper

References (13)

1. Adriana Agapie and Alexandru Agapie. Forecasting the Economic Cycles Based on an Extension of the Holt-Winters Model. A Genetic Algorithms Approach. In Proceedings of the IEEE Computational Intelligence for Financial Forecasting Engineering, pages 96-99, 1997.
2. W. Banzhaf, P. Nordin, R. Keller, and F. Francone. Genetic Programming, An Introduction. Morgan Kaufmann Publishers, Inc, USA, 1998.
3. G. Box and G. Jenkins. Time Series Analysis: Forecasting and Control. Holden Day, San Francisco, USA, 1976.
4. C. Chai, C. Chuek, M. DP, and T. Huat. Time Series Modelling and Forecasting using Genetic Algorithms. In Proceedings of the First International Conference on Knowledge-Based Intelligent Electronic Systems, volume 1, pages 260-268, Adelaide, Australia, 1995.
5. A. Flexer. Statistical evaluation of neural networks experiments: Minimum requirements and current practice. In Proceedings of the 13th European Meeting on Cybernetics and Systems Research, volume 2, pages 1005-1008, Vienna, Austria, 1996.
6. John Holland. Adaptation in Natural and Artificial Systems. PhD thesis, University of Michigan, Ann Arbor, 1975.
7. C. Huang and H. Yang.A Time Series Approach To Short Term Load Forecasting Through Evolutionary Programming Structures. In Proceedings of the EMPD’95 Internacional Conference, pages 583-588, 1995.
8. R. Hyndman. Time Series Data Library. (http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/), 2000.
9. G. Luger and W. Stubblefield. Artificial Intelligence, Structures and Strategies for Complex Problem Solving. Addison Wesley Longman, Inc., USA, 1998.
10. S. Makridakis and S. Wheelwright.Forecasting Methods for Management. John Wiley & Sons, New York, fifth edition, 1989.
11. Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, USA, third edition, 1996.
12. W. Sarle. Stopped Training and Other Remedies for Overfitting. In Proceedings of the 27th Symposium on the Interface of Computer Science and Statistics, pages 352-360, 1995.
13. G. Schwarz. Estimating the Dimension of a Model. The Annals of Statistics, 6:461-4, 1978.