Evolving time series forecasting ARMA models
Abstract Time Series Forecasting (TSF) allows the modeling of complex systems as “black-
boxes”, being a focus of attention in several research arenas such as Operational Research …
boxes”, being a focus of attention in several research arenas such as Operational Research …
Application of Forecasting as an Element of Effective Management in the Field of Improving Occupational Health and Safety in the Steel Industry in Poland
T Małysa - Sustainability, 2022 - mdpi.com
(1) Background: Every day, human beings fall victim to accidents. We implement solutions
aimed at reducing accidents in everyday life, but we are not able to eliminate all accidents …
aimed at reducing accidents in everyday life, but we are not able to eliminate all accidents …
EDDIE beats the bookies
Investment involves the maximisation of return on one's investment whilst minimising risk.
Good forecasting, which often requires expert knowledge, can help to reduce risk. In this …
Good forecasting, which often requires expert knowledge, can help to reduce risk. In this …
Evolutionary computation in economics and finance: A bibliography
SH Chen, TW Kuo - Evolutionary computation in economics and finance, 2002 - Springer
This chapter presents a bibliography on the application of evolutionary computation to
economics and finance. Publications included in this bibliography are classified by …
economics and finance. Publications included in this bibliography are classified by …
[PDF][PDF] Indexed bibliography of genetic algorithms in economics
JT Alander - … of Information Technology and Production Economics …, 1995 - researchgate.net
An Indexed Bibliography of Genetic Algorithms in Economics Page 1 An Indexed Bibliography
of Genetic Algorithms in Economics compiled by Jarmo T. Alander Department of Electrical …
of Genetic Algorithms in Economics compiled by Jarmo T. Alander Department of Electrical …
Genetic and evolutionary algorithms for time series forecasting
Nowadays, the ability to forecast the future, based only on past data, leads to strategic
advantages, which may be the key to success in organizations. Time Series Forecasting …
advantages, which may be the key to success in organizations. Time Series Forecasting …
An improvement of partheno-genetic algorithm to solve multiple travelling salesmen problem
H Zhou, M Song - … IEEE/ACIS 15th International Conference on …, 2016 - ieeexplore.ieee.org
Traveling salesman problem is a typical combinatorial optimization problem which can be
effectively solved by genetic algorithm. This paper proposes an improved partheno-genetic …
effectively solved by genetic algorithm. This paper proposes an improved partheno-genetic …
An Adaptive Anomaly Detection Algorithm for Periodic Data Streams
Real-time anomaly detection of massive data streams is an important research topic
nowadays due to the fact that a lot of data is generated in continuous temporal processes …
nowadays due to the fact that a lot of data is generated in continuous temporal processes …
[PDF][PDF] Parameters Estimation of Holt-Winters Smoothing Method Using Genetic Algorithm
NİLM Azmi - Mater of Science Dissertation, Faculty of Science …, 2013 - academia.edu
ABSTRACT A powerful technique based on adaptive heuristic namely Genetic Algorithm is
widely used in many fields. This technique is very popular for solving global optimization …
widely used in many fields. This technique is very popular for solving global optimization …
[PDF][PDF] Real-time forecasting by bio-inspired models
In recent years, bio-inspired methods for problem solving, such as Artificial Neural Networks
(ANNs) or Genetic and Evolutionary Algorithms (GEAs), have gained an increasing …
(ANNs) or Genetic and Evolutionary Algorithms (GEAs), have gained an increasing …